Triple
T25587907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noailles |
E641436
|
entity |
| Predicate | hasProductionScale |
P47413
|
FINISHED |
| Object | small-scale workshops |
—
|
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: small-scale workshops | Statement: [Noailles, hasProductionScale, small-scale workshops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProductionScale Context triple: [Noailles, hasProductionScale, small-scale workshops]
-
A.
productionScale
chosen
Indicates the relative size or volume at which something is produced, such as small-scale, medium-scale, or large-scale production.
-
B.
hasProduction
Indicates that an entity is associated with, or responsible for, the creation or manufacture of another entity or product.
-
C.
estimatedIndustrialScale
Indicates that an entity has been assessed or projected to operate at an industrial (large-scale) level of production or activity.
-
D.
hasProductionRange
Indicates the time span or range during which something is produced, manufactured, or in active production.
-
E.
hasProductionUse
Indicates that something is utilized or applied within a production or operational environment.
- 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_69e75dc42b588190a98b58e0df359674 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 21, 2026, 4:17 p.m.