Triple
T413273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khyber Pakhtunkhwa |
E9536
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Mingora |
E34338
|
NE 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: Mingora | Statement: [Khyber Pakhtunkhwa, hasCity, Mingora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mingora Context triple: [Khyber Pakhtunkhwa, hasCity, Mingora]
-
A.
Mingora
chosen
Mingora is the largest city in Pakistan’s Swat Valley, known as a commercial and tourist hub and as the hometown of Nobel laureate Malala Yousafzai.
-
B.
Swabi
Swabi is a city in northern Pakistan known as an agricultural and commercial center in the Khyber Pakhtunkhwa province.
-
C.
Bannu
Bannu is a historic city in northwestern Pakistan known as a regional commercial and cultural center in the Khyber Pakhtunkhwa province.
-
D.
Haripur
Haripur is a city in northern Pakistan known as an administrative and commercial center in the Hazara region of Khyber Pakhtunkhwa.
-
E.
Thatta
Thatta is an ancient city in Pakistan’s Sindh province, renowned for its rich Islamic architectural heritage and role as a major cultural and commercial center in South Asian history.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ecdc422881908910428fd1aee7c6 |
completed | Feb. 28, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a43667f180819099661c2cc5d8b188 |
completed | March 1, 2026, 12:51 p.m. |
Created at: Feb. 28, 2026, 1:09 p.m.