Triple
T3851681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İskender kebap |
E85307
|
entity |
| Predicate | servingComponent |
P11944
|
FINISHED |
| Object | meat |
—
|
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: meat | Statement: [İskender kebap, servingComponent, meat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servingComponent Context triple: [İskender kebap, servingComponent, meat]
-
A.
serviceComponent
Indicates that one entity functions as a component or sub-part within the structure or implementation of a larger service.
-
B.
servedWith
chosen
Indicates that one item is customarily presented, provided, or consumed together with another as an accompaniment or side.
-
C.
servesUnder
Indicates that one entity works in a subordinate role under the authority, command, or supervision of another entity.
-
D.
servedFrom
Indicates that something is provided, delivered, or made available from a particular source or location.
-
E.
typicallyServedAs
Indicates that something is most commonly presented, used, or offered in a particular role, form, or function.
- 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.