Triple

T3830804
Position Surface form Disambiguated ID Type / Status
Subject Aéroports de Montréal E91004 entity
Predicate shortName P43 FINISHED
Object ADM
ADM is the abbreviated name for Aéroports de Montréal, the authority that manages the main international airports serving the Montreal region in Canada.
 E390653 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: ADM | Statement: [Aéroports de Montréal, shortName, ADM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ADM
Context triple: [Aéroports de Montréal, shortName, ADM]
  • A. ADR
    ADR is the ICAO airline designator assigned to the former Slovenian national carrier Adria Airways.
  • B. ADR
    ADR is the commonly used abbreviation for the Azerbaijan Democratic Republic, the first secular democratic republic in the Muslim world established in 1918.
  • C. AMA
    AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
  • D. ADF
    ADF is the abbreviation for the Australian Defence Force, the unified military organization responsible for defending Australia and its national interests.
  • E. ANA
    ANA is the ICAO airline designator for All Nippon Airways, Japan’s largest airline and a major global carrier.
  • 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: ADM
Triple: [Aéroports de Montréal, shortName, ADM]
Generated description
ADM is the abbreviated name for Aéroports de Montréal, the authority that manages the main international airports serving the Montreal region in Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ADM
Target entity description: ADM is the abbreviated name for Aéroports de Montréal, the authority that manages the main international airports serving the Montreal region in Canada.
  • A. ADR
    ADR is the ICAO airline designator assigned to the former Slovenian national carrier Adria Airways.
  • B. ADR
    ADR is the commonly used abbreviation for the Azerbaijan Democratic Republic, the first secular democratic republic in the Muslim world established in 1918.
  • C. AMA
    AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
  • D. ADF
    ADF is the abbreviation for the Australian Defence Force, the unified military organization responsible for defending Australia and its national interests.
  • E. ANA
    ANA is the ICAO airline designator for All Nippon Airways, Japan’s largest airline and a major global carrier.
  • 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb86207c81908f40a01fe27f6a0b completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb5628c481909c3b5ac59473a9cc completed March 14, 2026, 6:08 a.m.
NEDg Description generation batch_69b4fc08d65081908953482b10fa5611 completed March 14, 2026, 6:11 a.m.
NED2 Entity disambiguation (via description) batch_69b4fc7d8cf081909c4447818b5363c5 completed March 14, 2026, 6:13 a.m.
Created at: March 9, 2026, 3:17 p.m.