Triple
T10742737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jain monks |
E253367
|
entity |
| Predicate | doNotEat |
P4300
|
FINISHED |
| Object | food after sunset |
—
|
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: food after sunset | Statement: [Jain monks, doNotEat, food after sunset]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doNotEat Context triple: [Jain monks, doNotEat, food after sunset]
-
A.
doesNot
chosen
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
B.
usesFood
Indicates that one entity employs or consumes a food item as a resource, ingredient, or means to achieve some purpose.
-
C.
doesNotServe
Indicates that one entity explicitly does not provide a service, function, or role to another entity.
-
D.
doesNotProduce
Indicates that one entity fails to generate, create, or yield another entity or outcome.
-
E.
doesNotAccept
Indicates that one entity refuses, rejects, or is not configured to receive or allow something from another 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d711b5dd8c81908f1d9b126e4c3ae7 |
completed | April 9, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69d6f30df9948190ab3cdc33977fac14 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:15 p.m.