Triple
T11851340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoshangabad district |
E281914
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Hoshangabad |
E58817
|
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: Hoshangabad | Statement: [Hoshangabad district, containsCity, Hoshangabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoshangabad Context triple: [Hoshangabad district, containsCity, Hoshangabad]
-
A.
Hoshangabad
chosen
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.
-
B.
Bhopalgarh
Bhopalgarh is a town in the Indian state of Rajasthan, known for its rural setting and administrative role within the region.
-
C.
Alirajpur
Alirajpur is a town and district headquarters in western Madhya Pradesh, India, known for its predominantly tribal population and vibrant indigenous culture.
-
D.
Nategaon
Nategaon is a village in India known primarily as the birthplace of prominent Indian civil servant and economist C. D. Deshmukh.
-
E.
Kushalnagar
Kushalnagar is a town in Karnataka’s Kodagu district, known as a gateway to the Coorg region and nearby river, dam, and nature attractions.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65db52c8190a218736da17d0153 |
completed | April 10, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4716d92c881908d45cb7b3babb1f7 |
completed | May 1, 2026, 9:25 a.m. |
Created at: April 8, 2026, 9:43 p.m.