Triple

T12043503
Position Surface form Disambiguated ID Type / Status
Subject Modane railway station E286723 entity
Predicate hasIATAcode P2569 FINISHED
Object XMO
XMO is the IATA airport-style code assigned to Modane railway station in France for use in travel and ticketing systems.
E960838 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: XMO | Statement: [Modane railway station, hasIATAcode, XMO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XMO
Context triple: [Modane railway station, hasIATAcode, XMO]
  • A. XO
    "XO" is a song by American singer Beyoncé, co-written and produced by Ryan Tedder, known for its atmospheric pop sound and emotive vocals.
  • B. XO
    XO is a Canadian record label and music collective co-founded by R&B artist The Weeknd, known for releasing much of his catalog and cultivating a dark, atmospheric sound.
  • C. XO
    XO is the internal codename Apple used during development of the Macintosh Classic personal computer.
  • D. XO
    XO is a critically acclaimed 1998 studio album by American singer-songwriter Elliott Smith, noted for its lush production and introspective, melancholic songwriting.
  • E. XNM
    XNM is the IATA airport-style code assigned to Norwich railway station in Norwich, England, for use in integrated transport and ticketing systems.
  • 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: XMO
Triple: [Modane railway station, hasIATAcode, XMO]
Generated description
XMO is the IATA airport-style code assigned to Modane railway station in France for use in travel and ticketing systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: XMO
Target entity description: XMO is the IATA airport-style code assigned to Modane railway station in France for use in travel and ticketing systems.
  • A. XO
    "XO" is a song by American singer Beyoncé, co-written and produced by Ryan Tedder, known for its atmospheric pop sound and emotive vocals.
  • B. XO
    XO is a Canadian record label and music collective co-founded by R&B artist The Weeknd, known for releasing much of his catalog and cultivating a dark, atmospheric sound.
  • C. XO
    XO is the internal codename Apple used during development of the Macintosh Classic personal computer.
  • D. XO
    XO is a critically acclaimed 1998 studio album by American singer-songwriter Elliott Smith, noted for its lush production and introspective, melancholic songwriting.
  • E. XNM
    XNM is the IATA airport-style code assigned to Norwich railway station in Norwich, England, for use in integrated transport and ticketing systems.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040d13108190bd1a969fa62aae5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49da728ec819080c349fd8d0ed62c completed May 1, 2026, 12:33 p.m.
NEDg Description generation batch_69f53d9460bc8190869f2b7d095d98cb completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f56505c0b481909f9caaf338f73033 completed May 2, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:47 p.m.