Triple
T25282325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolam |
E633853
|
entity |
| Predicate | isTypicallyDrawnAt |
P160111
|
FINISHED |
| Object | temple entrances |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: temple entrances | Statement: [Kolam, isTypicallyDrawnAt, temple entrances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTypicallyDrawnAt Context triple: [Kolam, isTypicallyDrawnAt, temple entrances]
-
A.
isTypicallyDrawnAt
chosen
Indicates that something is most commonly or customarily depicted or illustrated at a particular time, place, or context.
-
B.
drawnUnder
Indicates that one entity is depicted or represented as being beneath another entity in a drawing or visual representation.
-
C.
locationOfDraw
Indicates that a draw or tie in a competition or game occurred at a particular location.
-
D.
positionDepicted
Indicates that one entity visually represents or depicts the spatial position or placement of another entity.
-
E.
typicalFigure
Indicates that one entity serves as a standard or representative example (a typical instance) of the other entity.
- F. None of above.
Provenance (3 batches)
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_69e75a9402fc81909362ca85277c06d9 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f606c79ad081908369605f72e65ca6 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 21, 2026, 1:19 p.m.