Triple
T27623694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pattu Pavadai |
E696144
|
entity |
| Predicate | typicalFabricType |
P74917
|
FINISHED |
| Object | Kanchipuram silk |
—
|
NE NERFINISHED |
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: Kanchipuram silk | Statement: [Pattu Pavadai, typicalFabricType, Kanchipuram silk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFabricType Context triple: [Pattu Pavadai, typicalFabricType, Kanchipuram silk]
-
A.
typicalFabric
Indicates that something is made from or associated with a fabric material that is standard or characteristic for its type.
-
B.
textileType
chosen
Indicates the specific kind or category of textile material associated with an entity.
-
C.
featuresMaterialType
Indicates that an entity is characterized by or incorporates a specific type of material.
-
D.
hasLiningMaterial
Indicates that one entity uses or contains another entity as the material forming its inner lining.
-
E.
furnishingType
Indicates the type or category of furnishings associated with an entity, such as a property or room.
- 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_69ef59092c8881908114ad184248cc46 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69ffe12ee59c8190bc7da386e6d5332d |
completed | May 10, 2026, 1:36 a.m. |
| PD | Predicate disambiguation | batch_69ffe0a138bc8190a3d4b48cd579e985 |
completed | May 10, 2026, 1:34 a.m. |
Created at: April 27, 2026, 2:16 p.m.