Triple
T8021943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kallar Kahar area |
E186758
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Chakwal |
E187711
|
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: Chakwal | Statement: [Kallar Kahar area, nearbyCity, Chakwal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chakwal Context triple: [Kallar Kahar area, nearbyCity, Chakwal]
-
A.
Chakwal
chosen
Chakwal is a city in Pakistan’s Punjab province, known as a regional administrative and commercial center in the Potohar Plateau area.
-
B.
Khanewal
Khanewal is a prominent city in Pakistan’s Punjab province, known as an important railway junction and agricultural trade center.
-
C.
Bahawalnagar
Bahawalnagar is a prominent city in Pakistan’s Punjab province, known as an agricultural and commercial hub near the border with India.
-
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.
Sargodha
Sargodha is a major city in central Pakistan known for its air force base and extensive citrus (particularly kinnow) production.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e8eab9c81908098e6b17957316c |
completed | March 31, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebb05716c8190aec1ea8f0d01443a |
completed | April 2, 2026, 6:52 p.m. |
Created at: March 30, 2026, 5:20 p.m.