Triple
T37636413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maligawa Tusker |
E936498
|
entity |
| Predicate | locationDuringFestival |
—
|
GENERATED |
| Object | streets of Kandy |
—
|
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: locationDuringFestival Context triple: [Maligawa Tusker, locationDuringFestival, streets of Kandy]
-
A.
positionInFestival
Indicates the specific role, slot, or placement an entity holds within the structure or schedule of a festival.
-
B.
locatedInFestival
chosen
Indicates that something exists or takes place within the spatial or organizational boundaries of a specific festival.
-
C.
locatedInFestivalCity
Indicates that an entity is situated within or belongs to a city that is designated as a festival city.
-
D.
festivalPresence
Indicates that an entity is present at, participates in, or is associated with a particular festival event.
-
E.
festivalArea
Indicates that a location or space is designated as the area where a festival takes place or is held.
- 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_69f76ed31d8881908405da6c6d2f0463 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:18 p.m.