Triple
T2958035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blanc Fumé |
E79978
|
entity |
| Predicate | usedInLabeling |
P45202
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Blanc Fumé, usedInLabeling, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInLabeling Context triple: [Blanc Fumé, usedInLabeling, yes]
-
A.
usedLabel
Indicates that one entity has applied, assigned, or referenced a particular label to another entity or resource.
-
B.
areUsedIn
Indicates that certain entities serve as components, tools, or resources within a particular process, context, or application.
-
C.
usedFor
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
D.
widelyUsedIn
Indicates that something is commonly or extensively utilized within a particular context, domain, or group.
-
E.
usedInBrand
Indicates that something (such as a component, material, or element) is utilized as part of or within a particular brand.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad992b33e081909d22a19d5064c47d |
completed | March 8, 2026, 3:43 p.m. |
| PD | Predicate disambiguation | batch_69ad960c5c8881909d679912bd7d78f3 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad98379fac8190a4dfe530787703c9 |
completed | March 8, 2026, 3:39 p.m. |
Created at: March 8, 2026, 2:57 p.m.