Triple
T34161606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heidrun |
E876289
|
entity |
| Predicate | typeOfFoodProduced |
P76326
|
FINISHED |
| Object | alcoholic beverage |
—
|
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: alcoholic beverage | Statement: [Heidrun, typeOfFoodProduced, alcoholic beverage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfFoodProduced Context triple: [Heidrun, typeOfFoodProduced, alcoholic beverage]
-
A.
agriculturalProduce
Indicates that one entity is an agricultural product (such as crops or livestock-derived goods) produced by or associated with another entity.
-
B.
hasTypeOfFoodProduction
Indicates that an entity is associated with or involved in a specific kind or method of food production.
-
C.
commodityProduced
chosen
Indicates that a particular commodity is generated, manufactured, or otherwise produced by a specified entity or process.
-
D.
typeOfFarmProductInDispute
Indicates that a specific kind of farm product is the subject of a disagreement, conflict, or legal dispute between parties.
-
E.
cropMilkProducedBy
Indicates that a specific quantity or type of milk is produced by a particular crop or plant source.
- 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_69f349ac987481908a8e6053f665bc8b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0123d1162c81908182d01ba3ddd236 |
completed | May 11, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_6a01236713d88190b12a567c0dfb2d49 |
completed | May 11, 2026, 12:31 a.m. |
Created at: May 1, 2026, 1:54 a.m.