Triple
T7753908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sibi District |
E175840
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Kohlu District |
E637848
|
NE 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: Kohlu District | Statement: [Sibi District, borderedBy, Kohlu District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kohlu District Context triple: [Sibi District, borderedBy, Kohlu District]
-
A.
Kohlu District
chosen
Kohlu District is an administrative district in the Balochistan province of Pakistan, known for its rugged terrain and predominantly Baloch population.
-
B.
Kajaki District
Kajaki District is an administrative district in northern Helmand Province, Afghanistan, known for the Kajaki Dam and its strategic significance in the region.
-
C.
Miura District
Miura District is a rural administrative district in Kanagawa Prefecture, Japan, known for its coastal towns and scenic Miura Peninsula landscapes.
-
D.
Kuse District
Kuse District is a rural administrative district located in Kyoto Prefecture, Japan, known for its small towns and agricultural landscapes.
-
E.
Guichi District
Guichi District is an urban district that serves as the central administrative and commercial hub of Chizhou in Anhui Province, China.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6996180088190832e38e8d83ff54a |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703d851d4819091e9117d3f34cb9a |
completed | March 27, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c94db29c248190acf3349adc82656c |
completed | March 29, 2026, 4:05 p.m. |
Created at: March 27, 2026, 4:08 p.m.