Triple
T31375072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamachi Line |
E800271
|
entity |
| Predicate | hasHeadquartersOfOperator |
P95731
|
FINISHED |
| Object | Shibuya, Tokyo |
—
|
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: Shibuya, Tokyo | Statement: [Tamachi Line, hasHeadquartersOfOperator, Shibuya, Tokyo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeadquartersOfOperator Context triple: [Tamachi Line, hasHeadquartersOfOperator, Shibuya, Tokyo]
-
A.
corporateHeadquartersOfOperator
Indicates that a location serves as the main corporate headquarters for the specified operator.
-
B.
hasOperatorHeadquartersIn
chosen
Indicates that the primary operational headquarters of an operator is located in a specified place.
-
C.
operatedByCompanyHeadquarteredIn
Indicates that an entity is operated by a company whose headquarters is located in a specified place.
-
D.
hasHeadquartersFunctionFor
Indicates that an entity serves as the central coordinating or managing headquarters for another entity’s operations or activities.
-
E.
hasHeadquartersRoleFor
Indicates that an entity holds a specific role or position within the headquarters of another 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_69f224e84da08190abfc2f17494a33c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: April 29, 2026, 9:18 p.m.