Triple
T6132364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. & P. Coats |
E136747
|
entity |
| Predicate | hasMainRawMaterial |
P5291
|
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: [J. & P. Coats, hasMainRawMaterial, cotton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainRawMaterial Context triple: [J. & P. Coats, hasMainRawMaterial, cotton]
-
A.
hasSourceMaterial
Indicates that something is derived from, based on, or created using a particular source material.
-
B.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
C.
hasMainIngredient
chosen
Indicates that one entity is the primary or most significant ingredient used to make another entity.
-
D.
hasMainSource
Indicates that one entity serves as the primary or principal source or origin for another entity.
-
E.
containsNewMaterial
Indicates that one entity includes or incorporates material that is newly created or not previously existing within another entity 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c4f7ad8819096b09ddd312453fb |
completed | March 22, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c055f19b0c81908be34a00ab218723 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:15 p.m.