Triple
T37514116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lut Gholein |
E932589
|
entity |
| Predicate | primaryTownFor |
—
|
GENERATED |
| Object | Act II player hub |
—
|
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: primaryTownFor Context triple: [Lut Gholein, primaryTownFor, Act II player hub]
-
A.
primaryTown
chosen
Indicates that a given town is the main or most important town associated with an entity (such as a person, organization, or region).
-
B.
mainTownOn
Indicates that one town is the primary or principal town located on or associated with a particular geographic feature, route, or area.
-
C.
primaryCity
Indicates that one city serves as the main or most important city associated with a given region, entity, or context.
-
D.
primaryUseCity
Indicates that a city is the main or principal location where something (such as a service, facility, or entity) is primarily used or operates.
-
E.
primaryLocationCity
Indicates the city that serves as the main or primary location associated with the subject.
- 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_69f76ec730988190b5aa4f9cb9afd518 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:17 p.m.