Triple
T9192243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aslian |
E220617
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object |
Ten’edn
Ten’edn is an Aslian language spoken by an indigenous community in the Malay Peninsula, belonging to the broader Austroasiatic language family.
|
E783472
|
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: Ten’edn | Statement: [Aslian, hasLanguage, Ten’edn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ten’edn Context triple: [Aslian, hasLanguage, Ten’edn]
-
A.
The Ten
The Ten is a 2007 satirical comedy film structured as ten interconnected stories loosely based on the Ten Commandments.
-
B.
Tegsedi
Tegsedi is an antisense oligonucleotide drug used to treat hereditary transthyretin-mediated amyloidosis by reducing the production of the transthyretin protein.
-
C.
Teda
Teda are a Saharan ethnic group, primarily inhabiting northern Chad and surrounding regions, known for their nomadic lifestyle and Tebu language.
-
D.
Tyto
Tyto is a genus of medium-sized owls best known for including the widespread barn owl and its close relatives.
-
E.
Tinée
Tinée is a river in southeastern France that flows through the Alpes-Maritimes department in the Provence-Alpes-Côte d'Azur region.
- 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: Ten’edn Triple: [Aslian, hasLanguage, Ten’edn]
Generated description
Ten’edn is an Aslian language spoken by an indigenous community in the Malay Peninsula, belonging to the broader Austroasiatic language family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ten’edn Target entity description: Ten’edn is an Aslian language spoken by an indigenous community in the Malay Peninsula, belonging to the broader Austroasiatic language family.
-
A.
The Ten
The Ten is a 2007 satirical comedy film structured as ten interconnected stories loosely based on the Ten Commandments.
-
B.
Tegsedi
Tegsedi is an antisense oligonucleotide drug used to treat hereditary transthyretin-mediated amyloidosis by reducing the production of the transthyretin protein.
-
C.
Teda
Teda are a Saharan ethnic group, primarily inhabiting northern Chad and surrounding regions, known for their nomadic lifestyle and Tebu language.
-
D.
Tyto
Tyto is a genus of medium-sized owls best known for including the widespread barn owl and its close relatives.
-
E.
Tinée
Tinée is a river in southeastern France that flows through the Alpes-Maritimes department in the Provence-Alpes-Côte d'Azur region.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5c077b4819086c74e91ee4bd75e |
completed | April 1, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c2bb2c481909db8c223aececf37 |
completed | April 4, 2026, 12:32 a.m. |
| NEDg | Description generation | batch_69d05d4ec9d48190bb425fe0449f4bf2 |
completed | April 4, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05dde94f08190aec82aa680ca0dce |
completed | April 4, 2026, 12:39 a.m. |
Created at: March 30, 2026, 7:24 p.m.