Triple
T5614903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badghis Province |
E147451
|
entity |
| Predicate | borderTypeWithTurkmenistan |
P64666
|
FINISHED |
| Object | international border |
—
|
LITERAL FINISHED |
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: international border | Statement: [Badghis Province, borderTypeWithTurkmenistan, international border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderTypeWithTurkmenistan Context triple: [Badghis Province, borderTypeWithTurkmenistan, international border]
-
A.
countryBorderType
Indicates the type or nature of the border relationship that exists between two countries.
-
B.
borderTypeWithYemen
Indicates the type or nature of the border that exists between a given entity and Yemen.
-
C.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
-
D.
borderRegion
Indicates a region that lies along or near the boundary separating two distinct geographic or political areas.
-
E.
borderTypeWithItaly
Indicates the type or nature of the border that an entity shares with Italy.
- 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02123fa9081909086c9cce3f3e907 |
completed | March 22, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69c01b1b3c98819080687d18ab10a914 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f0684908190ae2d14f0bd2ab892 |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:39 p.m.