Triple
T32135860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulumba |
E820761
|
entity |
| Predicate | eatenInCountry |
P56694
|
FINISHED |
| Object | Turkey |
—
|
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: Turkey | Statement: [Tulumba, eatenInCountry, Turkey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eatenInCountry Context triple: [Tulumba, eatenInCountry, Turkey]
-
A.
consumedInCountry
Indicates that something (such as a product, resource, or item) is used up, eaten, or otherwise consumed within the borders of a specified country.
-
B.
isEatenIn
chosen
Indicates that one entity (typically food) is consumed within the context, location, or occasion specified by another entity.
-
C.
eatenAs
Indicates that one entity is consumed or used as food by another entity.
-
D.
countryWithMainCourse
Indicates that a particular country is associated with a specific main course dish, typically as a representative or characteristic meal.
-
E.
isNationalDishOf
Indicates that a particular food is officially or culturally recognized as the national dish of a specific country or region.
- 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_69f349039e0c819091c7a7d322e3f46d |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b9a9bc4c8190a88918fc4f91136a |
completed | May 3, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:30 a.m.