Triple
T30517357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suruç |
E776600
|
entity |
| Predicate | hasCountrySubdivisionCapital |
P203331
|
FINISHED |
| Object | Suruç town center |
—
|
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: Suruç town center | Statement: [Suruç, hasCountrySubdivisionCapital, Suruç town center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountrySubdivisionCapital Context triple: [Suruç, hasCountrySubdivisionCapital, Suruç town center]
-
A.
countrySubdivisionCapital
Indicates that a city serves as the capital of a specific administrative subdivision (such as a state, province, or region) within a country.
-
B.
hasCountryOfCapital
Indicates that a capital city is associated with or belongs to a specific country.
-
C.
capitalIsNationalCapitalOf
Indicates that one place serves as the official national capital city of a specified country.
-
D.
associatedCountryCapital
Indicates that a country is related to, or paired with, its capital city.
-
E.
countryCapitalLocatedWithin
Indicates that the capital city of a country is geographically situated within the boundaries of that country.
- F. None of above. chosen
Provenance (4 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0160834e388190908591b300954d29 |
completed | May 11, 2026, 4:52 a.m. |
| PD | Predicate disambiguation | batch_6a01602a83408190a11d754bdc7da0e9 |
completed | May 11, 2026, 4:50 a.m. |
| PDg | Predicate description generation | batch_6a016082388081908a037b8427f6f99d |
completed | May 11, 2026, 4:52 a.m. |
Created at: April 29, 2026, 8:16 p.m.