Triple
T34254817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valhalla |
E878846
|
entity |
| Predicate | drinkSource |
P125776
|
FINISHED |
| Object | Heiðrún |
—
|
NE NERFINISHED |
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: Heiðrún | Statement: [Valhalla, drinkSource, Heiðrún]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drinkSource Context triple: [Valhalla, drinkSource, Heiðrún]
-
A.
drinks
Indicates that one entity consumes a liquid substance, typically by ingesting it through the mouth.
-
B.
drinkFamily
Indicates a familial or close relational connection between two entities centered around drinking-related activities or contexts.
-
C.
traditionalDrink
Indicates that one entity is a beverage customarily consumed within the culture, heritage, or longstanding practices associated with another entity.
-
D.
favoriteDrink
Indicates that one entity has a preferred beverage over others.
-
E.
beverageBase
chosen
Indicates that one entity serves as the primary liquid or foundational ingredient used to make a beverage involving the other 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_69f349b421cc8190b4b4655e1d612548 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:56 a.m.