Triple
T35630130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taquile community |
E1029558
|
entity |
| Predicate | textileRoleDistribution |
P75740
|
FINISHED |
| Object | men knit |
—
|
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: men knit | Statement: [Taquile community, textileRoleDistribution, men knit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textileRoleDistribution Context triple: [Taquile community, textileRoleDistribution, men knit]
-
A.
textileType
Indicates the specific kind or category of textile material associated with an entity.
-
B.
textileFeature
Indicates a characteristic, property, or notable aspect associated with a textile or fabric.
-
C.
roleInText
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
-
D.
isTextileCluster
Indicates that an entity functions as or belongs to a concentrated geographic grouping of textile-related industries or activities.
-
E.
roleOfPeopleOnIt
chosen
Indicates the specific roles or functions that people have in relation to a particular object, event, or context.
- 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_69f76e07bb0c8190968ea2d836fc42c9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.