Triple
T31399328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | واسی |
E800949
|
entity |
| Predicate | منطقهاستفاده |
P908
|
FINISHED |
| Object | روستاها و درههای نورستان |
—
|
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: روستاها و درههای نورستان | Statement: [واسی, منطقهاستفاده, روستاها و درههای نورستان]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: منطقهاستفاده Context triple: [واسی, منطقهاستفاده, روستاها و درههای نورستان]
-
A.
zonedUse
Indicates the designated or permitted type of land use assigned to a property or area under zoning regulations.
-
B.
usedRegion
Indicates that an entity operates in, applies to, or is utilized within a specified geographic or administrative region.
-
C.
usedInRegion
chosen
Indicates that something is utilized or applied within a specific geographic or administrative region.
-
D.
regionPrimaryUse
Indicates the main functional purpose or dominant activity for which a region is used.
-
E.
primaryUseArea
Indicates the main functional area or domain in which an entity is primarily used or applied.
- F. None of above.
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_69f224ea9998819086ae2e4f4f4091c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 29, 2026, 9:19 p.m.