Triple

T21317152
Position Surface form Disambiguated ID Type / Status
Subject Kuramae Station E525501 entity
Predicate stationCode P1289 FINISHED
Object A-17
A-17 is the station code assigned to Kuramae Station on Tokyo’s Toei Asakusa Line.
E1477781 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: A-17 | Statement: [Kuramae Station, stationCode, A-17]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A-17
Context triple: [Kuramae Station, stationCode, A-17]
  • A. A-18
    A-18 is the station code assigned to Asakusa Station on Tokyo’s Toei Asakusa Line.
  • B. A-13
    A-13 is a major Quebec autoroute serving as a key north–south highway linking Montreal to its northern suburbs and Montreal–Trudeau International Airport.
  • C. A-21
    A-21 is the station code assigned to Stare Bielany, a stop on the Warsaw Metro system.
  • D. A-1
    A-1 is the station code assigned to Kabaty, the southern terminus of Warsaw Metro Line M1.
  • E. A-1
    A-1 is a major Spanish motorway that connects Madrid with the northern regions of the country, forming a key part of the national road network.
  • 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: A-17
Triple: [Kuramae Station, stationCode, A-17]
Generated description
A-17 is the station code assigned to Kuramae Station on Tokyo’s Toei Asakusa Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A-17
Target entity description: A-17 is the station code assigned to Kuramae Station on Tokyo’s Toei Asakusa Line.
  • A. A-18
    A-18 is the station code assigned to Asakusa Station on Tokyo’s Toei Asakusa Line.
  • B. A-13
    A-13 is a major Quebec autoroute serving as a key north–south highway linking Montreal to its northern suburbs and Montreal–Trudeau International Airport.
  • C. A-21
    A-21 is the station code assigned to Stare Bielany, a stop on the Warsaw Metro system.
  • D. A-1
    A-1 is the station code assigned to Kabaty, the southern terminus of Warsaw Metro Line M1.
  • E. A-1
    A-1 is a major Spanish motorway that connects Madrid with the northern regions of the country, forming a key part of the national road network.
  • 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75dd0b34481909dd6d37cf8e42144 completed April 21, 2026, 11:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099edd7aec8190911c1c2b7f8a2232 completed May 17, 2026, 10:56 a.m.
NEDg Description generation batch_6a099f7804c48190b3b70dc7b16c991d completed May 17, 2026, 10:59 a.m.
NED2 Entity disambiguation (via description) batch_6a09a06ea2fc8190b1b7cc0e6574f574 completed May 17, 2026, 11:03 a.m.
Created at: April 16, 2026, 4:34 p.m.