Triple

T5617982
Position Surface form Disambiguated ID Type / Status
Subject Osaki Station E147524 entity
Predicate stationCode P1289 FINISHED
Object JS17
JS17 is the station code assigned to Osaki Station on Japan's railway network.
 E531091 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: JS17 | Statement: [Osaki Station, stationCode, JS17]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JS17
Context triple: [Osaki Station, stationCode, JS17]
  • A. J7
    J7 is a numbered junction on the M60 motorway in Greater Manchester, England, serving as an access point between the motorway and the surrounding local road network.
  • B. JST
    JST is the time zone used throughout Japan, nine hours ahead of Coordinated Universal Time (UTC+9).
  • C. JST
    JST is the ICAO airline designator used to identify Jetstar Airways in international aviation operations.
  • D. Jos
    Jos is a major city in central Nigeria known for its relatively temperate climate, tin mining history, and role as an administrative and commercial center.
  • E. JS Kaga
    JS Kaga is a Japanese Maritime Self-Defense Force warship, the second vessel of the Izumo-class designed primarily for anti-submarine warfare and helicopter operations.
  • 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: JS17
Triple: [Osaki Station, stationCode, JS17]
Generated description
JS17 is the station code assigned to Osaki Station on Japan's railway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JS17
Target entity description: JS17 is the station code assigned to Osaki Station on Japan's railway network.
  • A. J7
    J7 is a numbered junction on the M60 motorway in Greater Manchester, England, serving as an access point between the motorway and the surrounding local road network.
  • B. JST
    JST is the time zone used throughout Japan, nine hours ahead of Coordinated Universal Time (UTC+9).
  • C. JST
    JST is the ICAO airline designator used to identify Jetstar Airways in international aviation operations.
  • D. Jos
    Jos is a major city in central Nigeria known for its relatively temperate climate, tin mining history, and role as an administrative and commercial center.
  • E. JS Kaga
    JS Kaga is a Japanese Maritime Self-Defense Force warship, the second vessel of the Izumo-class designed primarily for anti-submarine warfare and helicopter operations.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021dc04c081909f36e40394e7c955 completed March 22, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0287d9d7081909a1b2510565b55fc completed March 22, 2026, 5:35 p.m.
NEDg Description generation batch_69c03894b9388190bd534ad107722b83 completed March 22, 2026, 6:44 p.m.
NED2 Entity disambiguation (via description) batch_69c0393144248190a97d1f82b81cc868 completed March 22, 2026, 6:47 p.m.
Created at: March 22, 2026, 3:40 p.m.