Triple
T8793638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LLM in International Criminal Law |
E209230
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
LLM ICL
LLM ICL is a specialized postgraduate law degree focusing on advanced study and practice in international criminal law.
|
E759020
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: LLM ICL | Statement: [LLM in International Criminal Law, hasAbbreviation, LLM ICL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LLM ICL Context triple: [LLM in International Criminal Law, hasAbbreviation, LLM ICL]
-
A.
LLM
LLM is the ICAO airline designator assigned to Yamal Airlines, a Russian regional carrier.
-
B.
LLaMA
LLaMA is a family of large language models developed by Meta AI, designed for efficient training and inference across a range of natural language processing tasks.
-
C.
Language Models are Few-Shot Learners
"Language Models are Few-Shot Learners" is a landmark research paper that demonstrated large-scale transformer-based language models can perform diverse tasks from just a few examples without task-specific training.
-
D.
Anthropic Claude
Anthropic Claude is an advanced AI assistant developed by Anthropic, designed to provide helpful, honest, and safe natural language interactions.
-
E.
PaLM 2
PaLM 2 is a large-scale language model developed by Google, known for powering various AI features across Google products before being succeeded by the Gemini family of models.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LLM ICL Triple: [LLM in International Criminal Law, hasAbbreviation, LLM ICL]
Generated description
LLM ICL is a specialized postgraduate law degree focusing on advanced study and practice in international criminal law.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LLM ICL Target entity description: LLM ICL is a specialized postgraduate law degree focusing on advanced study and practice in international criminal law.
-
A.
LLM
LLM is the ICAO airline designator assigned to Yamal Airlines, a Russian regional carrier.
-
B.
LLaMA
LLaMA is a family of large language models developed by Meta AI, designed for efficient training and inference across a range of natural language processing tasks.
-
C.
Language Models are Few-Shot Learners
"Language Models are Few-Shot Learners" is a landmark research paper that demonstrated large-scale transformer-based language models can perform diverse tasks from just a few examples without task-specific training.
-
D.
Anthropic Claude
Anthropic Claude is an advanced AI assistant developed by Anthropic, designed to provide helpful, honest, and safe natural language interactions.
-
E.
PaLM 2
PaLM 2 is a large-scale language model developed by Google, known for powering various AI features across Google products before being succeeded by the Gemini family of models.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f9f0ff48190a8ff3c7447833849 |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6f532ed48190a21996f865428831 |
completed | April 3, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69cf7041b6bc81909924d1382b756746 |
completed | April 3, 2026, 7:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf7163e2088190bf252896cc4036b2 |
completed | April 3, 2026, 7:51 a.m. |
Created at: March 30, 2026, 6:43 p.m.