Triple
T2495135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khyber Pakhtunkhwa |
E52136
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Nowshera |
E52863
|
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: Nowshera | Statement: [Khyber Pakhtunkhwa, hasMajorCity, Nowshera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nowshera Context triple: [Khyber Pakhtunkhwa, hasMajorCity, Nowshera]
-
A.
Nowshera
chosen
Nowshera is a city in northern Pakistan known as an important commercial and military center in the Khyber Pakhtunkhwa province.
-
B.
Mansehra
Mansehra is a major city in northern Pakistan known as a gateway to the Kaghan Valley and the Karakoram Highway.
-
C.
Khuldabad
Khuldabad is a historic town in Maharashtra, India, renowned as the burial site of the Mughal emperor Aurangzeb and several prominent Sufi saints.
-
D.
Taxila
Taxila was an ancient city in present-day Pakistan that served as a major center of learning, trade, and administration in South Asia.
-
E.
Wazirabad
Wazirabad is a city in the Gujranwala District of Punjab, Pakistan, known for its cutlery industry and strategic location near the Chenab River.
- 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_69ab4955111c8190835bf619adec21ff |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd19541048190b9e39db119c20fe8 |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f9608e48190825417943e8c4559 |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:45 p.m.