Triple
T3327299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jigawa State |
E69944
|
entity |
| Predicate | borderTypeToNiger |
P47312
|
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: [Jigawa State, borderTypeToNiger, land border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderTypeToNiger Context triple: [Jigawa State, borderTypeToNiger, land border]
-
A.
borderRegion
Indicates a region that lies along or near the boundary separating two distinct geographic or political areas.
-
B.
borderTypeWithYemen
Indicates the type or nature of the border that exists between a given entity and Yemen.
-
C.
countryBorderDirection
Indicates the cardinal or relative direction in which one country lies in relation to the border it shares with another country.
-
D.
borderRegionOf
Indicates that one region lies along, touches, or forms part of the boundary of another region.
-
E.
borderRegime
Indicates the type, rules, or control system governing how movement or interaction is managed across a border between entities.
- 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_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb16f61248190bab10f4ac9e066f7 |
completed | March 8, 2026, 5:27 p.m. |
| PD | Predicate disambiguation | batch_69ada42a19348190a3862ce02451f4aa |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada52716ec81908e89688a81039394 |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:12 p.m.