Triple
T13483851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakki Marwat District |
E318441
|
entity |
| Predicate | majorLivestockActivity |
P92145
|
FINISHED |
| Object | cattle rearing |
—
|
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: cattle rearing | Statement: [Lakki Marwat District, majorLivestockActivity, cattle rearing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorLivestockActivity Context triple: [Lakki Marwat District, majorLivestockActivity, cattle rearing]
-
A.
primaryLivestock
Indicates that the specified livestock type is the main or most important kind of animal raised or kept by an entity.
-
B.
livestockUse
chosen
Indicates how an entity is used or managed in relation to livestock, such as for raising, feeding, housing, or supporting livestock activities.
-
C.
pastoralActivities
Indicates activities related to providing spiritual care, guidance, or religious leadership within a community.
-
D.
typeOfLivestock
Indicates the specific kind or category of livestock associated with or involved in a given context or entity.
-
E.
primarySectorActivity
Indicates the main industry or sector in which an entity primarily conducts its activities or operations.
- 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.