Triple
T32231900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erenler |
E823362
|
entity |
| Predicate | isPartOfUrbanAreaOf |
P11388
|
FINISHED |
| Object | Adapazarı / Sakarya city |
—
|
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: Adapazarı / Sakarya city | Statement: [Erenler, isPartOfUrbanAreaOf, Adapazarı / Sakarya city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfUrbanAreaOf Context triple: [Erenler, isPartOfUrbanAreaOf, Adapazarı / Sakarya city]
-
A.
isUrbanAreaOn
Indicates that an urban area is geographically situated on or directly above a specified physical feature, surface, or region.
-
B.
containsUrbanArea
chosen
Indicates that a geographic region fully or partially encompasses an urbanized area within its boundaries.
-
C.
isUrbanExtensionOf
Indicates that one urban area serves as a spatial or functional continuation or outward expansion of another urban area.
-
D.
isUrbanLocality
Indicates that a place is classified as an urban settlement or locality, as opposed to a rural area.
-
E.
withinUrbanArea
Indicates that one entity is located inside the spatial boundaries of an urban area associated with 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_69f3490c140481908ed53b98b561eaa1 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fec5c503808190bde0b1829ea43071 |
completed | May 9, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69fec535dd6c8190a6ab85201f5a04a9 |
completed | May 9, 2026, 5:25 a.m. |
Created at: May 1, 2026, 12:39 a.m.