Triple

T22680699
Position Surface form Disambiguated ID Type / Status
Subject Central Station (Montreal) E560471 entity
Predicate hasIATACode P2569 FINISHED
Object XAX
XAX is the IATA station code assigned to Montreal's Central Station, a major intercity rail hub in downtown Montreal, Canada.
 E1549208 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: XAX | Statement: [Central Station (Montreal), hasIATACode, XAX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: XAX
Context triple: [Central Station (Montreal), hasIATACode, XAX]
  • A. XAX
    XAX is the ICAO airline designator used for AirAsia X, a Malaysian long-haul low-cost carrier.
  • B. XAK
    XAK is the three-letter ICAO airline designator assigned to Airkenya Express, a regional carrier based in Kenya.
  • C. AXK
    AXK is the ICAO airline designator assigned to African Express Airways, a regional carrier based in Kenya.
  • D. XASX
    XASX is the market identifier code for the Australian Securities Exchange operated by the Commonwealth Bank of Australia.
  • E. AX
    AX is the IATA airline designator assigned to Trans States Airlines, a former regional carrier in the United States.
  • 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: XAX
Triple: [Central Station (Montreal), hasIATACode, XAX]
Generated description
XAX is the IATA station code assigned to Montreal's Central Station, a major intercity rail hub in downtown Montreal, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: XAX
Target entity description: XAX is the IATA station code assigned to Montreal's Central Station, a major intercity rail hub in downtown Montreal, Canada.
  • A. XAX
    XAX is the ICAO airline designator used for AirAsia X, a Malaysian long-haul low-cost carrier.
  • B. XAK
    XAK is the three-letter ICAO airline designator assigned to Airkenya Express, a regional carrier based in Kenya.
  • C. AXK
    AXK is the ICAO airline designator assigned to African Express Airways, a regional carrier based in Kenya.
  • D. XASX
    XASX is the market identifier code for the Australian Securities Exchange operated by the Commonwealth Bank of Australia.
  • E. AX
    AX is the commonly used abbreviation for Anime Expo, one of the largest annual anime conventions in North America.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1786027648190972d1b0bbe81ed13 completed April 29, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73f2e9ec8190b8dd114b99990faa completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b75dd6214819088a62ec842f0493b completed May 18, 2026, 8:26 p.m.
NED2 Entity disambiguation (via description) batch_6a0b76ab5cdc8190be190e8980869ba0 completed May 18, 2026, 8:29 p.m.
Created at: April 17, 2026, 3:12 p.m.