Triple
T13483867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakki Marwat District |
E318441
|
entity |
| Predicate | hasPredominantlyPashtunPopulation |
P65193
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Lakki Marwat District, hasPredominantlyPashtunPopulation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPredominantlyPashtunPopulation Context triple: [Lakki Marwat District, hasPredominantlyPashtunPopulation, true]
-
A.
areaRankInPakistan
Indicates the relative position of an entity when all entities in Pakistan are ordered by their area size.
-
B.
populationShareOfMuslims
Indicates the proportion of a given population that is composed of Muslims.
-
C.
populationRankInPakistan
Indicates the relative position of an entity in terms of its population size compared to other entities within Pakistan.
-
D.
dominantEthnicGroups
chosen
Indicates that the specified ethnic groups hold primary demographic, cultural, or political prominence within a given region or population.
-
E.
isInPakistan
Indicates that the subject is located within the geographical boundaries of Pakistan.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3868ec8190a6a1803018d4f2d8 |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.