Triple
T11820576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rairi |
E281114
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mahad town |
E279533
|
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: Mahad town | Statement: [Rairi, near, Mahad town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahad town Context triple: [Rairi, near, Mahad town]
-
A.
Mahad
chosen
Mahad is a historic town in Maharashtra, India, known for its proximity to Raigad Fort and its role in social and political movements, including Dr. B. R. Ambedkar’s Mahad Satyagraha.
-
B.
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.
-
C.
Karmala
Karmala is a town in Maharashtra, India, known as a local administrative and commercial center within Solapur district.
-
D.
Sawantwadi
Sawantwadi is a historic town in Maharashtra, India, known for its former royal palace, traditional wooden toys, and scenic location near the Goa border.
-
E.
Malegaon
Malegaon is a major textile and powerloom town in Maharashtra, India, known for its large Muslim population and vibrant weaving industry.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5e87e488190905bc3bb6d721e56 |
completed | April 10, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f43f9e99788190a5a8abb135426038 |
completed | May 1, 2026, 5:52 a.m. |
Created at: April 8, 2026, 9:42 p.m.