Triple
T6980669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mhow |
E161834
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Mhow Cantonment |
E161834
|
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: Mhow Cantonment | Statement: [Mhow, formerName, Mhow Cantonment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mhow Cantonment Context triple: [Mhow, formerName, Mhow Cantonment]
-
A.
Gwalior Cantonment
Gwalior Cantonment is a major Indian Army military station located in the city of Gwalior in Madhya Pradesh.
-
B.
Jabalpur Cantonment
Jabalpur Cantonment is a major Indian Army cantonment area located in the city of Jabalpur in central India.
-
C.
Agra Cantonment
Agra Cantonment is a major Indian Army military station and the primary railway hub of Agra, Uttar Pradesh.
-
D.
Mhow
chosen
Mhow is a cantonment town in the Indore district of Madhya Pradesh, India, historically significant as a British-era military base and now known as Dr. Ambedkar Nagar.
-
E.
Ambala Cantonment
Ambala Cantonment is a prominent military and commercial town in Haryana, India, known for its strategic location and major railway junction.
- 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db6c1efc8190ab1575ae2ce726db |
completed | March 27, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761c0ecd88190a684392aa6daf267 |
completed | March 28, 2026, 5:06 a.m. |
Created at: March 27, 2026, 2:31 p.m.