Triple
T9492059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gouais Blanc × Pinot Noir (disputed/uncertain) |
E228913
|
entity |
| Predicate | hasConceptType |
P16808
|
FINISHED |
| Object | ancestral cross hypothesis |
—
|
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: ancestral cross hypothesis | Statement: [Gouais Blanc × Pinot Noir (disputed/uncertain), hasConceptType, ancestral cross hypothesis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConceptType Context triple: [Gouais Blanc × Pinot Noir (disputed/uncertain), hasConceptType, ancestral cross hypothesis]
-
A.
hasConcept
Indicates that an entity includes, embodies, or is associated with a particular concept.
-
B.
haveType
chosen
Indicates that an entity belongs to or is classified under a specified type or category.
-
C.
hasSubConcept
Indicates that one concept is a more specific, subordinate, or narrower idea within the scope of another, more general concept.
-
D.
hasImplementedConcept
Indicates that an entity has put a particular concept into practice or realized it in an implemented form.
-
E.
hasCriticalConcept
Indicates that one entity includes, depends on, or is defined by a key concept that is essential to understanding or functioning of another entity.
- 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd80ca26bc819084add20027aea4a5 |
completed | April 1, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69cca5651a588190a3cfebe249a223e5 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:56 p.m.