Triple
T37030471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zara |
E916475
|
entity |
| Predicate | locatedInGeographicalSubregion |
—
|
GENERATED |
| Object | Central Anatolia Region |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInGeographicalSubregion Context triple: [Zara, locatedInGeographicalSubregion, Central Anatolia Region]
-
A.
subregionOf
Indicates that one region is geographically or administratively contained within, and is a part of, another larger region.
-
B.
geographicalRegionType
Indicates the specific kind or category of geographical region that an entity belongs to (e.g., continent, country, province, or city).
-
C.
inCountrySubregion
chosen
Indicates that one location or entity is situated within a specific subregion of a country.
-
D.
originSubregion
Indicates the specific subregional area from which an entity originates or is derived.
-
E.
subregionName
Indicates that one region is identified by a specific name used for a smaller or subordinate geographic or administrative area within a larger region.
- F. None of above.
Provenance (1 batch)
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_69f76e92c7648190bcfa277f64c71a21 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:14 p.m.