Triple
T662540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arbroath Smokies |
E11786
|
entity |
| Predicate | consumptionForm |
P12789
|
FINISHED |
| Object | sold whole |
—
|
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: sold whole | Statement: [Arbroath Smokies, consumptionForm, sold whole]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consumptionForm Context triple: [Arbroath Smokies, consumptionForm, sold whole]
-
A.
consumptionMethod
Indicates the manner or process by which something is consumed, used up, or ingested.
-
B.
benefitForm
Indicates that one entity is a specific form, type, or variant in which a benefit is provided or realized for another entity.
-
C.
helpedForm
Indicates that one entity contributed significantly to the creation, establishment, or founding of another entity.
-
D.
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.
-
E.
filingForm
Indicates that an entity submits or completes a specific form or document, typically as part of an official or administrative process.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fd081e8819097f289961f5eff29 |
completed | March 1, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69a49d153a948190b3ccdc331ed33617 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.