Triple
T17476187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilgit–Chitral road via Shandur Pass |
E425542
|
entity |
| Predicate | languageRegionsAlongRoute |
P127599
|
FINISHED |
| Object | Khowar-speaking areas |
—
|
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: Khowar-speaking areas | Statement: [Gilgit–Chitral road via Shandur Pass, languageRegionsAlongRoute, Khowar-speaking areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageRegionsAlongRoute Context triple: [Gilgit–Chitral road via Shandur Pass, languageRegionsAlongRoute, Khowar-speaking areas]
-
A.
routeRegion
Indicates that a route is located within, passes through, or is associated with a particular geographic region.
-
B.
languageOfRouteCountries
Indicates the languages used or officially spoken in the countries through which a given route passes.
-
C.
languageRegionsRepresented
Indicates that certain geographic or cultural regions are represented or covered through specific languages.
-
D.
longitudeRegion
Indicates that an entity is located within or associated with a specific longitudinal region on the Earth’s surface.
-
E.
transportationRegion
Indicates that one entity serves as, or is associated with, a geographic region relevant to the transportation activities or coverage of another entity.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451bc3f908190b2c7a2d1f75a43f2 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:47 a.m.