Triple
T29409436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odakyu Dai-ichi Seimei Building |
E745852
|
entity |
| Predicate | hasMajorOccupant |
P21135
|
FINISHED |
| Object | Odakyu Electric Railway |
—
|
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: Odakyu Electric Railway | Statement: [Odakyu Dai-ichi Seimei Building, hasMajorOccupant, Odakyu Electric Railway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorOccupant Context triple: [Odakyu Dai-ichi Seimei Building, hasMajorOccupant, Odakyu Electric Railway]
-
A.
hasPrimaryOccupants
chosen
Indicates that certain entities are the main or principal occupants of another entity (such as a space, structure, or location).
-
B.
hasOccupancy
Indicates that an entity is currently filled, used, or inhabited to a certain extent or by a certain number of occupants.
-
C.
hasOccupantStatus
Indicates that an entity holds a particular role, status, or condition as an occupant of another entity (such as a place, vehicle, or property).
-
D.
hasSecondaryOccupant
Indicates that an entity has an additional, non-primary occupant associated with it.
-
E.
occupiedBy
Indicates that a space, position, or role is currently being used, held, or filled by a particular 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_69f0a79eb7d081908c67197a5f347e68 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69ff41645c548190b7cb4e53079b93ef |
completed | May 9, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69ff410aa33c8190869ba769ac2a93ce |
completed | May 9, 2026, 2:13 p.m. |
Created at: April 28, 2026, 2:56 p.m.