Triple
T34699740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aintab region |
E1000331
|
entity |
| Predicate | hasCityNowIn |
P12399
|
FINISHED |
| Object | Gaziantep Province |
—
|
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: Gaziantep Province | Statement: [Aintab region, hasCityNowIn, Gaziantep Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCityNowIn Context triple: [Aintab region, hasCityNowIn, Gaziantep Province]
-
A.
hasTargetCity
Indicates that something is directed toward, intended for, or specifically associated with a particular city as its target.
-
B.
hasCityStatusFor
Indicates that an entity holds official city status within the jurisdiction or context of another entity.
-
C.
isInCity
chosen
Indicates that one entity is located within the geographical boundaries of a specified city.
-
D.
hasCityRight
Indicates that an entity possesses legal or official rights associated with a particular city, such as jurisdiction, privileges, or authority within that city.
-
E.
hasClosedCity
Indicates that a country or region contains a city that is restricted or closed to general public access.
- 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_69f76dab937881909c86f1b9ad50445f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 3:59 p.m.