Triple
T33832526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miran Shah |
E867140
|
entity |
| Predicate | isMainCommercialTownOf |
P79077
|
FINISHED |
| Object | North Waziristan |
—
|
NE NERFINISHED |
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: North Waziristan | Statement: [Miran Shah, isMainCommercialTownOf, North Waziristan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMainCommercialTownOf Context triple: [Miran Shah, isMainCommercialTownOf, North Waziristan]
-
A.
hasMajorCommercialCentre
chosen
Indicates that a place contains or hosts a primary hub of significant commercial or business activity.
-
B.
hasCommercialCenterType
Indicates that an entity has or is associated with a specific type or category of commercial center (e.g., mall, shopping district, business park).
-
C.
isTown
Indicates that the subject entity is classified as a town.
-
D.
isInteriorTownOf
Indicates that one town is located within the interior region of, and is administratively or geographically associated with, a larger area or jurisdiction.
-
E.
mainTownOn
Indicates that one town is the primary or principal town located on or associated with a particular geographic feature, route, or area.
- 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:46 a.m.