Triple
T1457596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pashtuns |
E31432
|
entity |
| Predicate | populationStatusInPakistan |
P16668
|
FINISHED |
| Object | second-largest ethnic group in Pakistan |
—
|
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: second-largest ethnic group in Pakistan | Statement: [Pashtuns, populationStatusInPakistan, second-largest ethnic group in Pakistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationStatusInPakistan Context triple: [Pashtuns, populationStatusInPakistan, second-largest ethnic group in Pakistan]
-
A.
statusInPakistan
chosen
Indicates the legal, social, or operational condition or standing that something or someone has within the context of Pakistan.
-
B.
populationShareOfMuslims
Indicates the proportion of a given population that is composed of Muslims.
-
C.
countryPopulationContext
Indicates the contextual population characteristics or statistics associated with a specific country.
-
D.
populationDemonym
Indicates the term used to refer to the people or inhabitants associated with a particular place or region.
-
E.
currentPopulation
Indicates the present number of individuals living in or belonging to a specified entity (such as a location or group).
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c59a462881908e84b27846a6bc04 |
completed | March 1, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69a4c47ec5108190b1772237f2e5d90b |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.