Triple
T25802743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mastung District |
E649879
|
entity |
| Predicate | hasUrbanPopulationShare |
P159517
|
FINISHED |
| Object | minority |
—
|
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: minority | Statement: [Mastung District, hasUrbanPopulationShare, minority]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUrbanPopulationShare Context triple: [Mastung District, hasUrbanPopulationShare, minority]
-
A.
hasUrbanPopulationIn
Indicates that an entity has a specified urban population within a particular geographic area or administrative unit.
-
B.
hasUrbanDistrictCount
Indicates the number of urban districts associated with a given entity.
-
C.
hasPeriUrbanPopulation
Indicates that an entity has a population living in peri-urban areas, i.e., zones at the transition between urban and rural regions.
-
D.
isUrbanizedAround
Indicates that an area or region has developed urban characteristics or infrastructure surrounding a particular location or feature.
-
E.
statusInUrbanAreas
Indicates the condition, prevalence, or situation of something specifically within urban areas.
- 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_69e7ab34f8c8819099f6c4dabdabf129 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5ffccd0d0819095d21378b5b9590a |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 6:42 a.m.