Triple
T35905068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Tai people |
E1038449
|
entity |
| Predicate | notableArt |
P206100
|
FINISHED |
| Object | traditional textile weaving |
—
|
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 textile weaving | Statement: [Black Tai people, notableArt, traditional textile weaving]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableArt Context triple: [Black Tai people, notableArt, traditional textile weaving]
-
A.
notableArtObject
Indicates a relationship where an entity is recognized as an art object of particular significance, prominence, or cultural importance in connection to another entity.
-
B.
notableSculpture
Indicates that an entity is a sculpture for which the subject is especially known or recognized.
-
C.
notableArtist
Indicates that the subject is an artist who is widely recognized or distinguished for their work.
-
D.
notableMural
Indicates that an entity is a mural distinguished by particular significance, prominence, or recognition.
-
E.
artAndArchitecture
Indicates a relationship in which something pertains jointly to both artistic expression and architectural design or structures.
- 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_69f76e2259608190bf6788a132e0d139 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037ce53de881908cf14141cf3bc570 |
completed | May 12, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:07 p.m.