Triple
T29575463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunauli–Bhairahawa crossing |
E753430
|
entity |
| Predicate | borderNature |
P195308
|
FINISHED |
| Object | land 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: land border | Statement: [Sunauli–Bhairahawa crossing, borderNature, land border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderNature Context triple: [Sunauli–Bhairahawa crossing, borderNature, land border]
-
A.
territorialNature
Indicates a tendency of an entity to defend or assert control over a specific area or domain against others.
-
B.
bordersNationalPark
Indicates that one entity shares a boundary or edge directly with a national park.
-
C.
borderRegion
Indicates a region that lies along or near the boundary separating two distinct geographic or political areas.
-
D.
borderingEnvironment
Indicates that one environment or habitat lies directly adjacent to and shares a boundary with another environment.
-
E.
borderCountrySide
Indicates that one country shares a land border with the side or region of another country.
- 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_69f0ef80bf8c8190ad286e99f7df0c63 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
| PDg | Predicate description generation | batch_69fdbaa1313081908beea28a5597ae40 |
completed | May 8, 2026, 10:27 a.m. |
Created at: April 28, 2026, 6:02 p.m.