Triple
T21376355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hankyu Imazu Line |
E527214
|
entity |
| Predicate | hasOperatingCompanyHeadquartersIn |
P95731
|
FINISHED |
| Object | Osaka Prefecture |
—
|
NE NERFINISHED |
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: Osaka Prefecture | Statement: [Hankyu Imazu Line, hasOperatingCompanyHeadquartersIn, Osaka Prefecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOperatingCompanyHeadquartersIn Context triple: [Hankyu Imazu Line, hasOperatingCompanyHeadquartersIn, Osaka Prefecture]
-
A.
hasOperatorHeadquartersIn
chosen
Indicates that the primary operational headquarters of an operator is located in a specified place.
-
B.
hasHeadquartersFunctionFor
Indicates that an entity serves as the central coordinating or managing headquarters for another entity’s operations or activities.
-
C.
hasManufacturerHeadquartersIn
Indicates that the location specified is the place where the manufacturer’s main headquarters is situated.
-
D.
hasHeadquartersOn
Indicates that an organization’s main headquarters is located on a specified street, road, or similar thoroughfare.
-
E.
hasHeadquartersType
Indicates the specific kind or classification of headquarters associated with an entity.
- F. None of above.
Provenance (3 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0c79df88190b4b9804efebc8c6e |
completed | April 22, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:11 p.m.