Triple
T11469010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cantal cheese |
E271851
|
entity |
| Predicate | agingFacility |
P99454
|
FINISHED |
| Object | cellars |
—
|
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: cellars | Statement: [Cantal cheese, agingFacility, cellars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agingFacility Context triple: [Cantal cheese, agingFacility, cellars]
-
A.
legalAgingLocation
Indicates the place or jurisdiction in which an entity is legally aged or matures according to applicable laws or regulations.
-
B.
legacyFacilityOf
Indicates that one facility is an older, predecessor, or superseded version of another facility within the same organizational or operational context.
-
C.
homeFacilityName
Indicates the name of the primary facility or location that serves as the entity’s designated home base.
-
D.
housingLocation
Indicates the place or area where a person or group resides or is accommodated.
-
E.
enrichmentFacility
Indicates a facility where a substance, typically a material or resource, is processed to increase its concentration, quality, or value.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d82949e3688190b024a4980666c94f |
completed | April 9, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d8279925e4819089210611c0d8e61a |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:35 p.m.