Triple
T17860412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kandia River |
E446054
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kohistan |
—
|
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: Kohistan | Statement: [Kandia River, locatedIn, Kohistan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kohistan Context triple: [Kandia River, locatedIn, Kohistan]
-
A.
Khōwār
Khōwār is an Indo-Aryan language spoken primarily in Pakistan’s Chitral region and surrounding areas.
-
B.
Upper Kohistan
chosen
Upper Kohistan is a mountainous region in northern Pakistan known for its remote valleys, diverse indigenous communities, and distinct local languages and cultures.
-
C.
Kohistan District
Kohistan District is a mountainous administrative region in northern Pakistan known for its rugged terrain, remote valleys, and ethnically diverse communities.
-
D.
Sur Khahori
Sur Khahori is a poetic chapter of the classic Sindhi Sufi anthology Shah Jo Risalo, expressing themes of devotion and spiritual longing.
-
E.
Daikundi Province
Daikundi Province is a central Afghan province known for its predominantly Hazara population, mountainous terrain, and relative isolation from major urban centers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4978f34948190a25deb4fd617ad72 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.