Triple

T26551432
Position Surface form Disambiguated ID Type / Status
Subject 福岡県太宰府市 E671686 entity
Predicate 主な鉄道駅 P1071 FINISHED
Object 太宰府駅
太宰府駅は、福岡県太宰府市に位置し、太宰府天満宮への玄関口として知られる西日本鉄道（西鉄）太宰府線の主要駅です。
 E1733288 NE FINISHED

How this triple was built (3 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: 太宰府駅 | Statement: [福岡県太宰府市, 主な鉄道駅, 太宰府駅]
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: 太宰府駅
Triple: [福岡県太宰府市, 主な鉄道駅, 太宰府駅]
Generated description
太宰府駅は、福岡県太宰府市に位置し、太宰府天満宮への玄関口として知られる西日本鉄道（西鉄）太宰府線の主要駅です。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: 主な鉄道駅
Context triple: [福岡県太宰府市, 主な鉄道駅, 太宰府駅]
  • A. hasRailwayStation
    Indicates that a place or location is served by, or contains, a railway station.
  • B. isRailwayStation
    Indicates that the subject is a railway station, i.e., a facility where trains regularly stop to pick up or drop off passengers and/or freight.
  • C. hasMajorRailwayStation chosen
    Indicates that a place contains or is served by a principal railway station that functions as a major hub for rail transport.
  • D. hasRailStation
    Indicates that one entity possesses, contains, or is served by a rail station.
  • E. hasRailwayStationRole
    Indicates that an entity holds or is assigned a specific functional role or capacity within the operation or management of a railway station.
  • F. None of above.

Provenance (6 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_69eeb32163f08190af5f81282738e27a completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f614624c80819084f6febf57f86828 completed May 2, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11c81e26288190b027a84873d72943 completed May 23, 2026, 3:30 p.m.
NEDg Description generation batch_6a11e5247fe88190bcd9a7afe016f3a2 completed May 23, 2026, 5:34 p.m.
NED2 Entity disambiguation (via description) batch_6a11e5f0744c8190904d781ba9d7e28c completed May 23, 2026, 5:37 p.m.
PD Predicate disambiguation batch_69f602d7b1b0819095ddd3b5169f8ce2 completed May 2, 2026, 1:57 p.m.
Created at: April 27, 2026, 1:47 a.m.