Triple
T35372977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iran–Turkey border |
E1021824
|
entity |
| Predicate | adjacentProvince_Turkey |
P191121
|
FINISHED |
| Object | Ağrı 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: Ağrı Province | Statement: [Iran–Turkey border, adjacentProvince_Turkey, Ağrı Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentProvince_Turkey Context triple: [Iran–Turkey border, adjacentProvince_Turkey, Ağrı Province]
-
A.
affectedTurkishProvince
Indicates that a Turkish province is impacted or influenced by a specified event, condition, or entity.
-
B.
nearCityInTurkey
Indicates that one entity is located close to, but not necessarily within, a specified city in Turkey.
-
C.
mainTurkishBorderTown
Indicates that a location is the primary or most significant town situated on or near the border with Turkey.
-
D.
confederationOfTurkey
Indicates that one entity is a confederation composed of, or politically uniting, the entity Turkey.
-
E.
nearVillageInTurkey
Indicates that one entity is located close to a village situated within the country of Turkey.
- 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_69f76df000488190ab7c97f565677055 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcda35dc048190a3c90e15230900e0 |
completed | May 7, 2026, 6:30 p.m. |
Created at: May 3, 2026, 4:03 p.m.