Triple
T37452136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Champagne winegrowers |
E930695
|
entity |
| Predicate | mayAlso |
P170071
|
FINISHED |
| Object | produce grower Champagne |
—
|
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: produce grower Champagne | Statement: [Champagne winegrowers, mayAlso, produce grower Champagne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayAlso Context triple: [Champagne winegrowers, mayAlso, produce grower Champagne]
-
A.
mayAlsoInclude
chosen
Indicates that something can optionally contain or encompass additional elements beyond those primarily specified.
-
B.
mayNot
Indicates that an entity is not permitted or is prohibited from performing a particular action or entering into a specified relationship.
-
C.
mayAlsoAdmit
Indicates that an entity has the option or authority to additionally allow or accept another entity, beyond any primary or default admission.
-
D.
mayAlsoBeCalled
Indicates that one entity can alternatively be referred to by another name or label.
-
E.
mayResultIn
Indicates that one entity has the potential to cause, lead to, or bring about another entity or outcome, without guaranteeing that it will occur.
- 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_69f76ec0b9488190b7a4fae632bd1d2f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:17 p.m.