Triple
T7103190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumba people |
E165509
|
entity |
| Predicate | textileType |
P74917
|
FINISHED |
| Object | hinggi cloth |
—
|
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: hinggi cloth | Statement: [Sumba people, textileType, hinggi cloth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textileType Context triple: [Sumba people, textileType, hinggi cloth]
-
A.
textileFeature
Indicates a characteristic, property, or notable aspect associated with a textile or fabric.
-
B.
typicalFabric
Indicates that something is made from or associated with a fabric material that is standard or characteristic for its type.
-
C.
garmentType
Indicates the specific kind or category of garment associated with an entity.
-
D.
fiberType
Indicates the specific kind or classification of fiber that characterizes or composes an entity.
-
E.
fiberCharacteristic
Indicates a relationship where a specific characteristic or property is attributed to a fiber or fibrous material.
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e58a0a2c819088e0c8874fb4491f |
completed | March 27, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c313e481908b61a23fc89f9332 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a15b088190bee9a23e94aaac53 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:42 p.m.