Triple
T7071118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Metro Hibiya Line at Kayabacho |
E164697
|
entity |
| Predicate | isBusy |
P15255
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
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: true | Statement: [Tokyo Metro Hibiya Line at Kayabacho, isBusy, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBusy Context triple: [Tokyo Metro Hibiya Line at Kayabacho, isBusy, true]
-
A.
isBusiestInSystem
Indicates that an entity has the highest level of activity or load compared to all other entities within the same system.
-
B.
isInUse
chosen
Indicates that an entity is currently being utilized or actively engaged in its intended function or operation.
-
C.
isFreeToUse
Indicates that something can be used without cost, restriction, or required permission.
-
D.
isOn
Indicates that one entity is physically positioned above and in contact with the top surface of another entity.
-
E.
isActive
Indicates that an entity is currently functioning, engaged, or enabled within a given context or system.
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4c862f481908d1faf6ed57774f1 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bfcb948190a5ada74fb8c054cb |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:39 p.m.