Triple

T4127125
Position Surface form Disambiguated ID Type / Status
Subject Chōfu E92751 entity
Predicate railwayStation P918 FINISHED
Object Shibasaki Station
Shibasaki Station is a railway station in Chōfu, Tokyo, serving local commuter traffic on one of the city’s private railway lines.
 E872805 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: Shibasaki Station | Statement: [Chōfu, railwayStation, Shibasaki Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shibasaki Station
Context triple: [Chōfu, railwayStation, Shibasaki Station]
  • A. Ishibashi Station
    Ishibashi Station is a railway station in Japan that serves as a stop on JR West’s network, connecting local passengers along the Takarazuka corridor.
  • B. Tachibana Station
    Tachibana Station is a railway station in Amagasaki, Hyōgo Prefecture, Japan, served by JR West’s Tōkaidō Main Line (JR Kobe Line).
  • C. Asahibashi Station
    Asahibashi Station is a monorail station in Naha, Okinawa, serving as a key stop on the Okinawa Urban Monorail (Yui Rail) system.
  • D. Shinsen Station
    Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
  • E. Kishinosato Station
    Kishinosato Station is a railway station in Osaka, Japan, served by the Osaka Metro Yotsubashi Line.
  • 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: Shibasaki Station
Triple: [Chōfu, railwayStation, Shibasaki Station]
Generated description
Shibasaki Station is a railway station in Chōfu, Tokyo, serving local commuter traffic on one of the city’s private railway lines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shibasaki Station
Target entity description: Shibasaki Station is a railway station in Chōfu, Tokyo, serving local commuter traffic on one of the city’s private railway lines.
  • A. Ishibashi Station
    Ishibashi Station is a railway station in Japan that serves as a stop on JR West’s network, connecting local passengers along the Takarazuka corridor.
  • B. Tachibana Station
    Tachibana Station is a railway station in Amagasaki, Hyōgo Prefecture, Japan, served by JR West’s Tōkaidō Main Line (JR Kobe Line).
  • C. Asahibashi Station
    Asahibashi Station is a monorail station in Naha, Okinawa, serving as a key stop on the Okinawa Urban Monorail (Yui Rail) system.
  • D. Shinsen Station
    Shinsen Station is a railway station in Tokyo, Japan, served by the Keio Inokashira Line and located near the Shibuya area.
  • E. Kishinosato Station
    Kishinosato Station is a railway station in Osaka, Japan, served by the Osaka Metro Yotsubashi Line.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af021b17a08190b520101f54ec1e33 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94aceb7108190beeec78587c04161 completed April 10, 2026, 7:09 p.m.
NEDg Description generation batch_69d94c6fa9ac8190819a399754d2bd15 completed April 10, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69d953440a508190a50d1897cdbeba03 completed April 10, 2026, 7:45 p.m.
Created at: March 9, 2026, 3:42 p.m.