Triple
T37572499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bisig Bayan |
E934725
|
entity |
| Predicate | locationOfStation |
—
|
GENERATED |
| Object | Quezon City |
—
|
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: locationOfStation Context triple: [Bisig Bayan, locationOfStation, Quezon City]
-
A.
locationOfParentStation
Indicates that one entity is the place where the parent or main station of another entity is situated.
-
B.
originalStationLocation
Indicates the location where a station was initially established or first situated.
-
C.
stationName
Indicates the name assigned to a particular station in the relationship.
-
D.
isStationOf
Indicates that a given location functions as a station (e.g., transport or service hub) associated with or serving a particular system, line, route, or organization.
-
E.
stationNumber
Indicates the specific station identifier or code assigned to an entity within a system or network.
- F. None of above. chosen
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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:17 p.m.