Triple
T7164417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohiniyattam |
E167030
|
entity |
| Predicate | typicalJewellery |
P75226
|
FINISHED |
| Object | traditional Kerala temple jewellery |
—
|
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: traditional Kerala temple jewellery | Statement: [Mohiniyattam, typicalJewellery, traditional Kerala temple jewellery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalJewellery Context triple: [Mohiniyattam, typicalJewellery, traditional Kerala temple jewellery]
-
A.
braceletType
Indicates the specific kind or category of bracelet that an entity is associated with.
-
B.
earrings
Indicates that one entity is wearing, adorned with, or characterized by earrings.
-
C.
neckCharacteristic
Indicates that an entity has a specific attribute, feature, or quality related to its neck.
-
D.
givesJewelsTo
Indicates that one entity transfers or presents jewels to another entity.
-
E.
associatedMetal
Indicates a relationship where one entity is linked or connected to a particular metal, such as by composition, usage, origin, or symbolic association.
- F. None of above. chosen
Provenance (4 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e83168a08190937ff46797d94f3e |
completed | March 27, 2026, 8:27 p.m. |
| PD | Predicate disambiguation | batch_69c6e1cd5c948190a9113b23f7308c21 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a213508190a40aca39f9eee7d5 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:47 p.m.