Triple
T22207585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keikyū |
E548853
|
entity |
| Predicate | ownerOfFacility |
P8074
|
FINISHED |
| Object | Keikyū Kamata Station |
—
|
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: Keikyū Kamata Station | Statement: [Keikyū, ownerOfFacility, Keikyū Kamata Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownerOfFacility Context triple: [Keikyū, ownerOfFacility, Keikyū Kamata Station]
-
A.
ownsFacilityOn
chosen
Indicates that one entity possesses ownership or control over a facility located on or associated with another entity (such as a site, property, or area).
-
B.
tenantFacilityFor
Indicates that a facility is designated for use or occupancy by a particular tenant.
-
C.
brandOfFacility
Indicates that a particular brand is associated with, operates, or owns a given facility.
-
D.
userFacility
Indicates a relationship where a user is associated with, has access to, or operates within a particular facility.
-
E.
isNamedFacilityOf
Indicates that a facility bears the official name associated with a particular entity (such as an organization, person, or place).
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b2936a481909aa84c7983ed49ee |
completed | April 28, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:36 p.m.