Triple

T16063049
Position Surface form Disambiguated ID Type / Status
Subject Angrignon E389660 entity
Predicate code P1537 FINISHED
Object ANG
ANG is the station code for Angrignon, a Montreal Metro station that serves as the western terminus of the Green Line in Montreal, Canada.
 E1192116 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: ANG | Statement: [Angrignon, code, ANG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ANG
Context triple: [Angrignon, code, ANG]
  • A. AG
    AG is an Indonesian vehicle registration code used for motor vehicles registered in certain regions of East Java, including Trenggalek.
  • B. AG
    AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
  • C. AG
    AG is the common abbreviation for the Christian missions organization To the Nations.
  • D. AG
    AG is the Swiss vehicle registration code for the canton of Aargau.
  • E. AG
    AG is a common abbreviation for a German-language joint-stock company structure known as "Aktiengesellschaft."
  • 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: ANG
Triple: [Angrignon, code, ANG]
Generated description
ANG is the station code for Angrignon, a Montreal Metro station that serves as the western terminus of the Green Line in Montreal, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ANG
Target entity description: ANG is the station code for Angrignon, a Montreal Metro station that serves as the western terminus of the Green Line in Montreal, Canada.
  • A. AG
    AG is an Indonesian vehicle registration code used for motor vehicles registered in certain regions of East Java, including Trenggalek.
  • B. AG
    AG is the common abbreviation for the Christian missions organization To the Nations.
  • C. AG
    AG is the two-letter ISO 3166-1 alpha-2 country code assigned to Antigua and Barbuda.
  • D. AG
    AG is the Swiss vehicle registration code for the canton of Aargau.
  • E. AG
    AG is a common abbreviation for a German-language joint-stock company structure known as "Aktiengesellschaft."
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837a04108190b5a1dbbe2063039e completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe47ca9748190be24a490c3cf0e8c completed May 10, 2026, 1:50 a.m.
NEDg Description generation batch_69ffe50986b4819095bb9cd568fcf972 completed May 10, 2026, 1:53 a.m.
NED2 Entity disambiguation (via description) batch_69ffe56441b881909e3a97331e3821d2 completed May 10, 2026, 1:54 a.m.
Created at: April 10, 2026, 4:57 a.m.