Triple
T37281303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pak Kret District |
E925400
|
entity |
| Predicate | hasConventionCenterNearby |
—
|
GENERATED |
| Object | Impact Muang Thong Thani |
—
|
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: hasConventionCenterNearby Context triple: [Pak Kret District, hasConventionCenterNearby, Impact Muang Thong Thani]
-
A.
isCentralVenueOf
Indicates that a venue serves as the primary or main location for a specified event, organization, or activity.
-
B.
hasAttractionNearby
chosen
Indicates that one entity is located close to another entity that serves as an attraction or point of interest.
-
C.
hasConventionHalls
Indicates that an entity possesses or includes one or more convention halls as part of its facilities or infrastructure.
-
D.
venueComplex
Indicates that one venue is a complex or larger facility that contains or encompasses another venue.
-
E.
meetsNear
Indicates that two entities meet or come together at a location that is in close proximity to a specified reference point or area.
- 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_69f76eafe20c8190856d3b996a4c31a7 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:16 p.m.