Triple

T21658178
Position Surface form Disambiguated ID Type / Status
Subject Joliette E534521 entity
Predicate hasCityCode P6089 FINISHED
Object MTL
MTL is the city code commonly associated with the Montreal area in Quebec, Canada.
 E1496055 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: MTL | Statement: [Joliette, hasCityCode, MTL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MTL
Context triple: [Joliette, hasCityCode, MTL]
  • A. MTL
    MTL is the IATA airport code for Maitland Airport, a regional airfield serving the Maitland area in New South Wales, Australia.
  • B. MTL
    MTL is the standard three-letter abbreviation used for the National Hockey League team the Montreal Canadiens.
  • C. MTL
    MTL was the ISO 4217 currency code for the Maltese lira, the former national currency of Malta before adoption of the euro.
  • D. MTL
    MTL is a research and teaching facility at MIT focused on micro- and nanotechnology, including microelectronics, MEMS, and related advanced fabrication.
  • E. MTJ
    MTJ is the commonly used abbreviation for the Metro Jets, an American junior ice hockey team.
  • 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: MTL
Triple: [Joliette, hasCityCode, MTL]
Generated description
MTL is the city code commonly associated with the Montreal area in Quebec, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MTL
Target entity description: MTL is the city code commonly associated with the Montreal area in Quebec, Canada.
  • A. MTL
    MTL is the standard three-letter abbreviation used for the National Hockey League team the Montreal Canadiens.
  • B. MTL
    MTL was the ISO 4217 currency code for the Maltese lira, the former national currency of Malta before adoption of the euro.
  • C. MTL
    MTL is a research and teaching facility at MIT focused on micro- and nanotechnology, including microelectronics, MEMS, and related advanced fabrication.
  • D. MTL
    MTL is the IATA airport code for Maitland Airport, a regional airfield serving the Maitland area in New South Wales, Australia.
  • E. MTJ
    MTJ is the commonly used abbreviation for the Metro Jets, an American junior ice hockey team.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c05a8d881909f747635bdb4ef09 completed April 27, 2026, 2 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a159a54708190ab9477dbcf1bfb2a completed May 17, 2026, 7:23 p.m.
NEDg Description generation batch_6a0a17c8879881909f810d965ef41061 completed May 17, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0a1855a75c8190bd810d94637df913 completed May 17, 2026, 7:34 p.m.
Created at: April 16, 2026, 6:36 p.m.