Triple

T31156180
Position Surface form Disambiguated ID Type / Status
Subject オリックス・バファローズ E794213 entity
Predicate セカンドホーム所在地 P7992 FINISHED
Object 神戸市須磨区
神戸市須磨区は、神戸市西部に位置し、海岸線や須磨海浜公園などの観光地を有する住宅・文教エリアです。
 E1949207 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: 神戸市須磨区 | Statement: [オリックス・バファローズ, セカンドホーム所在地, 神戸市須磨区]
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: 神戸市須磨区
Triple: [オリックス・バファローズ, セカンドホーム所在地, 神戸市須磨区]
Generated description
神戸市須磨区は、神戸市西部に位置し、海岸線や須磨海浜公園などの観光地を有する住宅・文教エリアです。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: セカンドホーム所在地
Context triple: [オリックス・バファローズ, セカンドホーム所在地, 神戸市須磨区]
  • A. secondHolderHouse
    Indicates that an entity is the second person or party to hold or occupy a particular house or dwelling.
  • B. secondaryHeadquartersLocation chosen
    Indicates the location where an organization maintains a secondary (non-primary) headquarters.
  • C. secondEventLocation
    Indicates the location where the second event in a sequence takes place.
  • D. hasSecondaryCity
    Indicates that an entity possesses or is associated with a secondary city in addition to its primary city.
  • E. houseLocatedIn
    Indicates that a house is situated within or belongs to a specific geographic location or area.
  • 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_69f224d504908190b01278dcb7fc3fa7 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69dfdda708190be290c7bec205445 completed May 3, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2947269898819083742fb4afb173f1 completed June 10, 2026, 11:14 a.m.
NEDg Description generation batch_6a2947cb99048190b349aa52120b1e24 completed June 10, 2026, 11:17 a.m.
NED2 Entity disambiguation (via description) batch_6a2948bb63e4819083a1e9d149cddac6 completed June 10, 2026, 11:21 a.m.
PD Predicate disambiguation batch_69f69d1a37e081908d1d86b90ff502bd completed May 3, 2026, 12:55 a.m.
Created at: April 29, 2026, 9:07 p.m.