Triple
T11377744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maheshwar |
E269512
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Khargone |
E151925
|
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: Khargone | Statement: [Maheshwar, locatedNear, Khargone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khargone Context triple: [Maheshwar, locatedNear, Khargone]
-
A.
Khargone
chosen
Khargone is a city in western Madhya Pradesh, India, known as an agricultural and commercial center in the Nimar region.
-
B.
Jhabua
Jhabua is a town and administrative district headquarters in western Madhya Pradesh, India, known for its significant tribal population and culture.
-
C.
Hoshangabad
Hoshangabad is a city in the Indian state of Madhya Pradesh, known for its location on the banks of the Narmada River and its agricultural and industrial activities.
-
D.
Kharadi
Kharadi is a rapidly developing suburb in Pune, India, known as a major IT and business hub with modern infrastructure and residential complexes.
-
E.
Wadhwan
Wadhwan is a historic town in Gujarat, India, known for its royal heritage, old fortifications, and role as a former princely state center.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc30f5d48190bb273df4c9e583a9 |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58bff6574819089bd63266b97a734 |
completed | April 20, 2026, 2:14 a.m. |
Created at: April 8, 2026, 9:33 p.m.