Triple
T38580605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senbon Torii |
E932233
|
entity |
| Predicate | numberOfGatesApprox |
—
|
GENERATED |
| Object | thousands |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGatesApprox Context triple: [Senbon Torii, numberOfGatesApprox, thousands]
-
A.
numberOfGates
chosen
Indicates the quantity of gates associated with or belonging to an entity.
-
B.
lengthOfEachGate
Indicates the measurement of the individual length associated with each gate in a set or system.
-
C.
hasBoardingGatesFor
Indicates that a location or facility provides designated boarding gates used for embarking passengers onto specific transportation services (such as flights or trains).
-
D.
hasPassengerBoardingGates
Indicates that an entity is associated with or contains one or more passenger boarding gates used for embarking or disembarking passengers.
-
E.
numberOfGatehouses
Indicates the quantity of gatehouses associated with or present at a given entity or location.
- F. None of above.
Provenance (1 batch)
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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.