Triple
T16165999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chancay culture |
E392303
|
entity |
| Predicate | textileMaterial |
P1272
|
FINISHED |
| Object | cotton |
—
|
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: cotton | Statement: [Chancay culture, textileMaterial, cotton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textileMaterial Context triple: [Chancay culture, textileMaterial, cotton]
-
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.
typicalFabric
Indicates that something is made from or associated with a fabric material that is standard or characteristic for its type.
-
D.
hasLiningMaterial
Indicates that one entity uses or contains another entity as the material forming its inner lining.
-
E.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb2a25c819095437b25e6ab83f3 |
completed | April 17, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_69e1828abb608190a99d86bce1d77de2 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.