Triple
T11964912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bawangaja Jain temple |
E284766
|
entity |
| Predicate | mainStatueType |
P25695
|
FINISHED |
| Object | standing figure |
—
|
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: standing figure | Statement: [Bawangaja Jain temple, mainStatueType, standing figure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainStatueType Context triple: [Bawangaja Jain temple, mainStatueType, standing figure]
-
A.
statueName
Indicates that a statue has a specific name or title associated with it.
-
B.
statueSubjectRequirement
Indicates that a statue must depict or be associated with a specific required subject or type of subject.
-
C.
monumentType
Indicates the specific kind or category of monument that an entity is classified as.
-
D.
statuesBy
Indicates that one entity is the creator, sculptor, or originator of statues depicting or associated with another entity.
-
E.
hasSculptureType
chosen
Indicates that an entity is associated with a sculpture and specifies the type or category of that sculpture.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903799f948190a5dc4d3822f3ff27 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:46 p.m.