Triple

T24362528
Position Surface form Disambiguated ID Type / Status
Subject Takarazuka Station E614102 entity
Predicate adjacentStationOnLine P41425 FINISHED
Object Takarazuka-minamiguchi Station
Takarazuka-minamiguchi Station is a railway station in Takarazuka, Hyōgo Prefecture, Japan, serving as a local stop on the Hankyu Railway network near the city’s cultural and entertainment district.
E1642657 NE FINISHED

How this triple was built (2 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: Takarazuka-minamiguchi Station | Statement: [Takarazuka Station, adjacentStationOnLine, Takarazuka-minamiguchi Station]
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: Takarazuka-minamiguchi Station
Triple: [Takarazuka Station, adjacentStationOnLine, Takarazuka-minamiguchi Station]
Generated description
Takarazuka-minamiguchi Station is a railway station in Takarazuka, Hyōgo Prefecture, Japan, serving as a local stop on the Hankyu Railway network near the city’s cultural and entertainment district.

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_69e2d7dfe7f08190b7a1f3a36483ab05 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29385d0d48190b04154fcc3efe49a completed April 29, 2026, 11:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff83d2b788190a8245c509ff84cbc completed May 22, 2026, 6:31 a.m.
NEDg Description generation batch_6a0ff9f4d2b881908e438b3436480274 completed May 22, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_6a0ffae6e5bc81908af60c2c5d9eaa23 completed May 22, 2026, 6:42 a.m.
Created at: April 18, 2026, 2 a.m.