Triple
T22804469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanaig |
E564493
|
entity |
| Predicate | hasPrimaryMaturation |
P143547
|
FINISHED |
| Object | ex-bourbon barrels |
—
|
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: ex-bourbon barrels | Statement: [Sanaig, hasPrimaryMaturation, ex-bourbon barrels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryMaturation Context triple: [Sanaig, hasPrimaryMaturation, ex-bourbon barrels]
-
A.
firstMaturation
chosen
Indicates the point or process at which an entity undergoes its initial stage of maturation or development.
-
B.
hasMaturationLocation
Indicates the place or environment where an entity undergoes or completes its maturation process.
-
C.
hasPrimary
Indicates that one entity is designated as the main or most important instance (the primary) in relation to another entity.
-
D.
hasMaturity
Indicates that an entity possesses a specified level, state, or stage of development or maturity.
-
E.
hasMaturityType
Indicates that an entity is associated with a specific type or category of maturity it possesses or reaches.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5b37cc8190a41d8f304ba8d609 |
completed | April 29, 2026, 3:39 a.m. |
| PD | Predicate disambiguation | batch_69eed2cb30f481909566369f515f6eff |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:31 p.m.