Triple
T25040356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idiazabal cheese |
E627088
|
entity |
| Predicate | servingForm |
P12789
|
FINISHED |
| Object | wedges |
—
|
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: wedges | Statement: [Idiazabal cheese, servingForm, wedges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servingForm Context triple: [Idiazabal cheese, servingForm, wedges]
-
A.
givesForm
Indicates that one entity provides or supplies a form (such as a document, template, or structured format) to another entity.
-
B.
preparationForm
Indicates the specific way a substance or product has been prepared or formulated for use (e.g., tablet, solution, cream).
-
C.
formsFor
Indicates that one entity constitutes the physical or structural makeup of another entity.
-
D.
formsIn
Indicates that one entity takes shape, develops, or comes into existence within or inside another entity.
-
E.
typicalForm
chosen
Indicates that one entity represents the standard, characteristic, or most common form or shape in which another entity typically appears or is realized.
- 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_69e2ff2a2c088190be513727ee8bfe78 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 6:08 a.m.