Triple
T3851696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İskender kebap |
E85307
|
entity |
| Predicate | eatingOccasion |
P14787
|
FINISHED |
| Object | lunch |
—
|
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: lunch | Statement: [İskender kebap, eatingOccasion, lunch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eatingOccasion Context triple: [İskender kebap, eatingOccasion, lunch]
-
A.
eatenOnOccasion
Indicates that one entity is consumed or eaten by another only at certain times or under specific circumstances, rather than regularly or habitually.
-
B.
servingOccasion
chosen
Indicates the occasion, event, or context during which something (typically food or drink) is served.
-
C.
eatingPermitted
Indicates that an entity is allowed or authorized to eat in a given context or situation.
-
D.
holidayFood
Indicates that something is a type of food traditionally associated with or consumed during a holiday or festive occasion.
-
E.
feastType
Indicates the specific kind or category of feast associated with an event or occasion.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeebd0feb081909cc1d5bf41e4acd6 |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee750377c8190af70c79768c0edd8 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.