Triple
T9727821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château de Haut-Bailly |
E235659
|
entity |
| Predicate | oakType |
P87418
|
FINISHED |
| Object | French oak |
—
|
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: French oak | Statement: [Château de Haut-Bailly, oakType, French oak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oakType Context triple: [Château de Haut-Bailly, oakType, French oak]
-
A.
oakAffinity
Indicates a special connection, preference, or strong association between an entity and oak (such as oak trees, wood, or oak-related environments).
-
B.
typicalOakAroma
Indicates that something has the characteristic smell commonly associated with oak wood or oak aging.
-
C.
oakAgingTypical
chosen
Indicates that it is typical or customary for something (such as a product, especially a beverage) to undergo aging in oak.
-
D.
commonTreeType
Indicates that two or more entities share the same type or classification of tree.
-
E.
oarType
Indicates the specific kind or category of oar associated with or used in an activity, object, or context.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e7af544819090a8a1adec41943c |
completed | April 1, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69cd03c6ffc88190a5e9569e19122ad5 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:21 p.m.