Triple

T5553166
Position Surface form Disambiguated ID Type / Status
Subject Ikebukuro Station E145574 entity
Predicate hasStationCode P1289 FINISHED
Object JY13
JY13 is the station code used on JR East’s Yamanote Line to designate Ikebukuro Station in Tokyo.
 E536018 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: JY13 | Statement: [Ikebukuro Station, hasStationCode, JY13]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JY13
Context triple: [Ikebukuro Station, hasStationCode, JY13]
  • A. YJB
    YJB is the public body responsible for overseeing the youth justice system in England and Wales, aiming to prevent offending and reoffending by children and young people.
  • B. J100
    J100 is the internal model code used by Lexus to designate the second generation of its full-size luxury SUV, the Lexus LX.
  • C. YX
    YX is the IATA airline designator used by Republic Airways, a major U.S. regional airline operating flights on behalf of larger carriers.
  • D. YB
    YB is the common abbreviation for BSC Young Boys, a professional football club based in Bern, Switzerland.
  • E. YXU
    YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
  • 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: JY13
Triple: [Ikebukuro Station, hasStationCode, JY13]
Generated description
JY13 is the station code used on JR East’s Yamanote Line to designate Ikebukuro Station in Tokyo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JY13
Target entity description: JY13 is the station code used on JR East’s Yamanote Line to designate Ikebukuro Station in Tokyo.
  • A. YJB
    YJB is the public body responsible for overseeing the youth justice system in England and Wales, aiming to prevent offending and reoffending by children and young people.
  • B. J100
    J100 is the internal model code used by Lexus to designate the second generation of its full-size luxury SUV, the Lexus LX.
  • C. YX
    YX is the IATA airline designator used by Republic Airways, a major U.S. regional airline operating flights on behalf of larger carriers.
  • D. YB
    YB is the common abbreviation for BSC Young Boys, a professional football club based in Bern, Switzerland.
  • E. YXU
    YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ff9c9c48190b5e587d58c6515d8 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cfc6f808190a39c607f61dcfa32 completed March 22, 2026, 8:11 p.m.
NEDg Description generation batch_69c04e8422dc8190879ee52bd6850565 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f3963888190b1c85b3bb9ff5d44 completed March 22, 2026, 8:21 p.m.
Created at: March 22, 2026, 3:35 p.m.