Triple
T12606721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tehsil Municipal Administration Swabi |
E300997
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object | Swabi |
E54838
|
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: Swabi | Statement: [Tehsil Municipal Administration Swabi, headquartersLocation, Swabi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swabi Context triple: [Tehsil Municipal Administration Swabi, headquartersLocation, Swabi]
-
A.
Swabi
chosen
Swabi is a city in northern Pakistan known as an agricultural and commercial center in the Khyber Pakhtunkhwa province.
-
B.
Risalpur
Risalpur is a town in Pakistan’s Khyber Pakhtunkhwa province known as a major military and air force training center.
-
C.
Panjgur
Panjgur is a town and district headquarters in Pakistan’s Balochistan province, known for its date cultivation and location along historic trade routes.
-
D.
Chakwal Potohari
Chakwal Potohari is a regional dialect of the Potohari language spoken primarily in and around the Chakwal district of Pakistan’s Punjab province.
-
E.
Mingora
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.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954e7f2dc8190a42cab7a0e5ea7f3 |
completed | April 10, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684daedc88190adc403f27a850b7a |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:11 p.m.