Triple
T17857276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khanewal |
E445973
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Mian Channu |
—
|
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: Mian Channu | Statement: [Khanewal, locatedNear, Mian Channu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mian Channu Context triple: [Khanewal, locatedNear, Mian Channu]
-
A.
Mian Channu
chosen
Mian Channu is a prominent agricultural and commercial city in southern Punjab, Pakistan, known for its cotton, grain markets, and strategic location on the Grand Trunk Road.
-
B.
Boon Hua
Boon Hua is the given name of Ong Boon Hua, better known as Chin Peng, the former leader of the Malayan Communist Party.
-
C.
Chhipahrmai
Chhipahrmai is a locality in Nepal situated within Madhesh Province, known as part of the country’s southeastern Terai region.
-
D.
Chantho
Chantho is a blue-skinned, insectoid humanoid from the Malmooth species who serves as Professor Yana’s loyal assistant in the Doctor Who series.
-
E.
Cheeni Kum
Cheeni Kum is a 2007 Indian romantic comedy film directed by R. Balki, known for its unconventional love story between an older chef and a much younger woman, played by Tabu.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4978d05708190838386d37eb157bc |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.