Triple
T35967855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Po Lam station |
E1040192
|
entity |
| Predicate | hasConcourseLocation |
—
|
GENERATED |
| Object | at ground level |
—
|
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: hasConcourseLocation Context triple: [Po Lam station, hasConcourseLocation, at ground level]
-
A.
hasLocationRole
Indicates that an entity holds or plays a specific role in relation to a particular location (e.g., origin, destination, storage site, or operational area).
-
B.
hasFacilityLocation
Indicates that an entity possesses or is associated with a facility situated at a specific location.
-
C.
hasMeetingLocation
Indicates that an entity (such as a meeting or event) takes place at or is associated with a specific location.
-
D.
hasActLocation
Indicates that an action or event occurs at, or is associated with, a specific location.
-
E.
hasLocationsIn
Indicates that an entity maintains a presence, operations, or facilities in one or more specified geographic locations.
- 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_69f76e26b21081909fd9ffb3aff6c77a |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:07 p.m.