Triple
T34488255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akkışla |
E885391
|
entity |
| Predicate | isTownCenterOf |
P179414
|
FINISHED |
| Object | Akkışla District |
—
|
NE NERFINISHED |
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: Akkışla District | Statement: [Akkışla, isTownCenterOf, Akkışla District]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTownCenterOf Context triple: [Akkışla, isTownCenterOf, Akkışla District]
-
A.
isSocialCenterOf
Indicates that one entity serves as the primary gathering place or hub for social activities and interactions for another entity or group.
-
B.
isTransportCenterOf
Indicates that a location functions as a primary hub or central node for transportation activities serving another area or network.
-
C.
isTown
Indicates that the subject entity is classified as a town.
-
D.
isInteriorTownOf
Indicates that one town is located within the interior region of, and is administratively or geographically associated with, a larger area or jurisdiction.
-
E.
isUrbanCenter
Indicates that a place functions as a primary, densely developed hub of population, services, and activities within a region.
- 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_69f349c947fc81909d30b53c194d6ea1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f720cc1bfc8190a16118e3af8e9316 |
completed | May 3, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71fb0172c81908f23e95ff16b0dec |
completed | May 3, 2026, 10:13 a.m. |
Created at: May 1, 2026, 2:01 a.m.