Triple
T35667699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamar Park |
E1030617
|
entity |
| Predicate | locatedNearGovernmentBody |
—
|
GENERATED |
| Object | Government Headquarters of Hong Kong |
—
|
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: locatedNearGovernmentBody Context triple: [Tamar Park, locatedNearGovernmentBody, Government Headquarters of Hong Kong]
-
A.
locatedInGovernmentBody
Indicates that an entity is situated within, or is part of, a specific governmental body or institution.
-
B.
locatedNearGovernmentDistrict
Indicates that one entity is situated close to or in the immediate vicinity of a government district.
-
C.
governingBodyNearby
chosen
Indicates that a governing body is located in close physical proximity to the referenced entity or area.
-
D.
locationOfGoverningBody
Indicates the place where a governing body is based or carries out its official functions.
-
E.
locatedInTheGovernmentBuilding
Indicates that one entity is situated within or inside a government-owned or government-operated building.
- 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_69f76e0acfc0819082c8495c2210ce73 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:05 p.m.