Triple

T10814154
Position Surface form Disambiguated ID Type / Status
Subject Ageo E255180 entity
Predicate hasStation P35 FINISHED
Object Ageo Station
Ageo Station is a railway station in Ageo, Saitama Prefecture, Japan, serving as a stop on the JR East Takasaki Line.
E1148357 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: Ageo Station | Statement: [Ageo, hasStation, Ageo Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ageo Station
Context triple: [Ageo, hasStation, Ageo Station]
  • A. Minatomirai Station
    Minatomirai Station is an underground railway station in Yokohama, Japan, that serves the Minato Mirai 21 waterfront business and entertainment district on the Minatomirai Line.
  • B. Hadano Station
    Hadano Station is a railway station in Hadano, Kanagawa Prefecture, Japan, serving as a local transit hub on the Odakyu Odawara Line.
  • C. Tengachaya Station
    Tengachaya Station is a railway station in Osaka, Japan, serving as a local transit hub connecting several urban neighborhoods and lines.
  • D. Shuri Station
    Shuri Station is a railway station in Naha, Okinawa, serving as a key stop on the Okinawa Urban Monorail (Yui Rail) near the historic Shuri Castle area.
  • E. Maita Station
    Maita Station is a railway station in Yokohama, Japan, serving local commuters in the Minami Ward area.
  • 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: Ageo Station
Triple: [Ageo, hasStation, Ageo Station]
Generated description
Ageo Station is a railway station in Ageo, Saitama Prefecture, Japan, serving as a stop on the JR East Takasaki Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ageo Station
Target entity description: Ageo Station is a railway station in Ageo, Saitama Prefecture, Japan, serving as a stop on the JR East Takasaki Line.
  • A. Minatomirai Station
    Minatomirai Station is an underground railway station in Yokohama, Japan, that serves the Minato Mirai 21 waterfront business and entertainment district on the Minatomirai Line.
  • B. Hadano Station
    Hadano Station is a railway station in Hadano, Kanagawa Prefecture, Japan, serving as a local transit hub on the Odakyu Odawara Line.
  • C. Tengachaya Station
    Tengachaya Station is a railway station in Osaka, Japan, serving as a local transit hub connecting several urban neighborhoods and lines.
  • D. Shuri Station
    Shuri Station is a railway station in Naha, Okinawa, serving as a key stop on the Okinawa Urban Monorail (Yui Rail) near the historic Shuri Castle area.
  • E. Maita Station
    Maita Station is a railway station in Yokohama, Japan, serving local commuters in the Minami Ward area.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733eba9b48190b4dbe7fe5d8be0a4 completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef5a0824819097e41163e3092b68 completed May 9, 2026, 8:24 a.m.
NEDg Description generation batch_69fef17e1b8481908600e8f2f60ebe98 completed May 9, 2026, 8:34 a.m.
NED2 Entity disambiguation (via description) batch_69fef1e8e41481908f2c8ebe1b1036fa completed May 9, 2026, 8:35 a.m.
Created at: April 8, 2026, 9:18 p.m.