Triple

T438584
Position Surface form Disambiguated ID Type / Status
Subject Osaka Station E10063 entity
Predicate hasStationCode P1289 FINISHED
Object JR-O11
JR-O11 is the station code assigned to Osaka Station on the JR West railway network in Japan.
E55350 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: JR-O11 | Statement: [Osaka Station, hasStationCode, JR-O11]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JR-O11
Context triple: [Osaka Station, hasStationCode, JR-O11]
  • A. RJOO
    RJOO is the ICAO airport code for Osaka International Airport, a major domestic aviation hub serving the Osaka metropolitan area in Japan.
  • B. JG 52
    JG 52 was a famed Luftwaffe fighter wing of World War II, notable for including many of Germany’s highest-scoring fighter aces.
  • C. RJBB
    RJBB is the ICAO airport code for Kansai International Airport, a major international hub built on an artificial island in Osaka Bay, Japan.
  • D. JST
    JST is the time zone used throughout Japan, nine hours ahead of Coordinated Universal Time (UTC+9).
  • E. J train
    The J train is a New York City Subway service that runs along the BMT Jamaica Line, connecting Jamaica, Queens with Lower Manhattan via Brooklyn.
  • 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: JR-O11
Triple: [Osaka Station, hasStationCode, JR-O11]
Generated description
JR-O11 is the station code assigned to Osaka Station on the JR West railway network in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: JR-O11
Target entity description: JR-O11 is the station code assigned to Osaka Station on the JR West railway network in Japan.
  • A. RJOO
    RJOO is the ICAO airport code for Osaka International Airport, a major domestic aviation hub serving the Osaka metropolitan area in Japan.
  • B. JG 52
    JG 52 was a famed Luftwaffe fighter wing of World War II, notable for including many of Germany’s highest-scoring fighter aces.
  • C. RJBB
    RJBB is the ICAO airport code for Kansai International Airport, a major international hub built on an artificial island in Osaka Bay, Japan.
  • D. JST
    JST is the time zone used throughout Japan, nine hours ahead of Coordinated Universal Time (UTC+9).
  • E. J train
    The J train is a New York City Subway service that runs along the BMT Jamaica Line, connecting Jamaica, Queens with Lower Manhattan via Brooklyn.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef283be881909444aaf257451747 completed Feb. 28, 2026, 1:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4366eb0588190beb5c43828f8ca45 completed March 1, 2026, 12:51 p.m.
NEDg Description generation batch_69a436c6f1a0819086f8d8f12bc82e87 completed March 1, 2026, 12:53 p.m.
NED2 Entity disambiguation (via description) batch_69a4379eee248190a417b81afbb403ae completed March 1, 2026, 12:57 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.