Triple
T26883804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tavernier Blue |
E676984
|
entity |
| Predicate | cuttingResultedIn |
P161561
|
FINISHED |
| Object | French Blue |
—
|
NE NERFINISHED |
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: French Blue | Statement: [Tavernier Blue, cuttingResultedIn, French Blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cuttingResultedIn Context triple: [Tavernier Blue, cuttingResultedIn, French Blue]
-
A.
isCutInto
Indicates that one entity is divided or separated into pieces or segments that become the other entity.
-
B.
hasCut
Indicates that one entity has made or possesses a cut in, on, or through another entity.
-
C.
cutter
Indicates that an entity is used to cut or divide another entity.
-
D.
hasTypicalCut
Indicates that one entity is characterized by or associated with a standard or typical type of cut of another entity.
-
E.
cuttingStyle
Indicates the manner or technique in which something is cut or shaped.
- 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_69eee9bc0c90819085608c8bdc513a57 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61f61446081909547ecbf78cf3bfc |
completed | May 2, 2026, 3:59 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6142a0b988190b404d078f73c3cb9 |
completed | May 2, 2026, 3:11 p.m. |
Created at: April 27, 2026, 5:41 a.m.