Triple
T1457595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pashtuns |
E31432
|
entity |
| Predicate | populationStatusInAfghanistan |
P16670
|
FINISHED |
| Object | largest ethnic group in Afghanistan |
—
|
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: largest ethnic group in Afghanistan | Statement: [Pashtuns, populationStatusInAfghanistan, largest ethnic group in Afghanistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationStatusInAfghanistan Context triple: [Pashtuns, populationStatusInAfghanistan, largest ethnic group in Afghanistan]
-
A.
statusInAfghanistan
chosen
Indicates the condition, role, or legal standing an entity holds within the context of Afghanistan.
-
B.
hasPopulationStatus
Indicates the current demographic condition or classification of a population associated with an entity.
-
C.
hasPopulationAsOf
Indicates that a population count is associated with a specific point or date in time when that population figure was valid or recorded.
-
D.
countryPopulationContext
Indicates the contextual population characteristics or statistics associated with a specific country.
-
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.