Triple
T17128329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nilokheri |
E415655
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Karnal |
E389853
|
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: Karnal | Statement: [Nilokheri, hasNearbyCity, Karnal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karnal Context triple: [Nilokheri, hasNearbyCity, Karnal]
-
A.
Karnal
chosen
Karnal is a historic city in the Indian state of Haryana, known for its agricultural significance and strategic location along the Grand Trunk Road between Delhi and Chandigarh.
-
B.
Barnala
Barnala is a city in the Malwa region of Punjab, India, known as an administrative and commercial center for the surrounding agricultural area.
-
C.
Sheohar
Sheohar is a town in the Indian state of Bihar that serves as an administrative and commercial center for the surrounding rural region.
-
D.
Jullundur
Jullundur is the former English spelling of Jalandhar, a major city in the Indian state of Punjab.
-
E.
Nadiad
Nadiad is a city in the Indian state of Gujarat, historically notable as the birthplace of independence leader Sardar Vallabhbhai Patel.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f0285a408190ae5e4c4679c07fbf |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01414a51d4819086c2346fe2d4fce4 |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:36 a.m.