Triple
T6083324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cavan |
E135574
|
entity |
| Predicate | ISO3166-2 |
P189
|
FINISHED |
| Object |
IE-CN
IE-CN is the ISO 3166-2 code that uniquely identifies County Cavan in the Republic of Ireland.
|
E566707
|
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: IE-CN | Statement: [Cavan, ISO3166-2, IE-CN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IE-CN Context triple: [Cavan, ISO3166-2, IE-CN]
-
A.
CNK
CNK is the stock ticker symbol for Cinemark Holdings, Inc., a major American movie theater chain operator.
-
B.
CEI
CEI (Compagnie de l’Esthétique Industrielle) is a French industrial design company known for its work in product aesthetics and functional design across various industries.
-
C.
ICH E2C
ICH E2C is an International Council for Harmonisation guideline that defines standards for the periodic safety update reporting of medicinal products to support ongoing pharmacovigilance and risk management.
-
D.
IES
IES is the research, evaluation, and statistics arm of the U.S. Department of Education that provides rigorous evidence to inform education policy and practice.
-
E.
IE-L
IE-L is the ISO 3166-2 subdivision code assigned to the Irish province of Leinster.
- 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: IE-CN Triple: [Cavan, ISO3166-2, IE-CN]
Generated description
IE-CN is the ISO 3166-2 code that uniquely identifies County Cavan in the Republic of Ireland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IE-CN Target entity description: IE-CN is the ISO 3166-2 code that uniquely identifies County Cavan in the Republic of Ireland.
-
A.
CNK
CNK is the stock ticker symbol for Cinemark Holdings, Inc., a major American movie theater chain operator.
-
B.
CEI
CEI (Compagnie de l’Esthétique Industrielle) is a French industrial design company known for its work in product aesthetics and functional design across various industries.
-
C.
ICH E2C
ICH E2C is an International Council for Harmonisation guideline that defines standards for the periodic safety update reporting of medicinal products to support ongoing pharmacovigilance and risk management.
-
D.
IES
IES is the research, evaluation, and statistics arm of the U.S. Department of Education that provides rigorous evidence to inform education policy and practice.
-
E.
IE-L
IE-L is the ISO 3166-2 subdivision code assigned to the Irish province of Leinster.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05786233c81909010a6c2f7e7dfda |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d57b5f481908d7df374837a486a |
completed | March 23, 2026, 11 a.m. |
| NEDg | Description generation | batch_69c11e89c75481908381df126a7b1661 |
completed | March 23, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11ef6971c8190b8dde5568b330b41 |
completed | March 23, 2026, 11:07 a.m. |
Created at: March 22, 2026, 4:11 p.m.