Triple
T17960662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kings XI Punjab |
E449071
|
entity |
| Predicate | homeVenueCity |
P15624
|
FINISHED |
| Object | Mohali |
—
|
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: Mohali | Statement: [Kings XI Punjab, homeVenueCity, Mohali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mohali Context triple: [Kings XI Punjab, homeVenueCity, Mohali]
-
A.
Mohali
chosen
Mohali is a planned city in the Indian state of Punjab, forming part of the Chandigarh Tricity region and known for its IT industry and international cricket stadium.
-
B.
Chandigarh
Chandigarh is a planned city in northern India, renowned for its modernist architecture and urban design largely conceived by the Swiss-French architect Le Corbusier.
-
C.
Ludhiana
Ludhiana is a major industrial city in the Indian state of Punjab, known especially for its textile and hosiery manufacturing.
-
D.
Faridabad
Faridabad is a major industrial city in northern India known for its manufacturing sector and its location within the National Capital Region near New Delhi.
-
E.
Gurugram
Gurugram is a major financial and technology hub in the Indian state of Haryana, known for its modern skyline, multinational corporate offices, and proximity to New Delhi.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b131fa8481908cd756f350eb6359 |
completed | April 19, 2026, 10:40 a.m. |
Created at: April 10, 2026, 10:22 a.m.