Triple
T31496179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afghanistan–Turkmenistan border |
E803545
|
entity |
| Predicate | nearCityOnTurkmenSide |
P136470
|
FINISHED |
| Object | Serhetabat |
—
|
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: Serhetabat | Statement: [Afghanistan–Turkmenistan border, nearCityOnTurkmenSide, Serhetabat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearCityOnTurkmenSide Context triple: [Afghanistan–Turkmenistan border, nearCityOnTurkmenSide, Serhetabat]
-
A.
borderCity_Turkmenistan
chosen
Indicates that a city is located on or near the national border of Turkmenistan.
-
B.
mainTurkishBorderTown
Indicates that a location is the primary or most significant town situated on or near the border with Turkey.
-
C.
borderTypeWithTurkmenistan
Indicates the type or nature of the border relationship that an entity has with Turkmenistan.
-
D.
nearCityInSyria
Indicates that one entity is located close to a specified city within the country of Syria.
-
E.
distanceToKyzylorda
Indicates the spatial distance between a given entity or location and the city of Kyzylorda.
- 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_69f348cae52081909fa8e5f697523ae3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 9:41 p.m.