Triple
T822340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chenab River |
E17776
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Multan region |
E90805
|
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: Multan region | Statement: [Chenab River, passesNear, Multan region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Multan region Context triple: [Chenab River, passesNear, Multan region]
-
A.
Multan
chosen
Multan is a historic city in southern Punjab, Pakistan, renowned as a major cultural, commercial, and Sufi spiritual center with a legacy spanning over two millennia.
-
B.
southern Punjab, Pakistan
Southern Punjab, Pakistan is a culturally distinct region in the south of Pakistan’s Punjab province, known for its Saraiki-speaking population, Sufi heritage, and agrarian economy.
-
C.
Sialkot
Sialkot is a major industrial city in Pakistan’s Punjab province, renowned globally for its production of sports goods and surgical instruments.
-
D.
Bannu Division
Bannu Division is an administrative division in southern Khyber Pakhtunkhwa, Pakistan, centered around the city of Bannu and comprising several districts.
-
E.
Gujranwala
Gujranwala is a major industrial city in Pakistan’s Punjab province, known for its manufacturing base and historical significance in the region.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab7c139c8190b6d75661b5138d89 |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b84122cc81909b12b69e27d50008 |
completed | March 4, 2026, 4:42 a.m. |
Created at: March 1, 2026, 7:38 p.m.