Triple
T17072700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahmednagar district |
E414261
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Sangamner |
E551343
|
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: Sangamner | Statement: [Ahmednagar district, hasMajorTown, Sangamner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sangamner Context triple: [Ahmednagar district, hasMajorTown, Sangamner]
-
A.
Sangamner
chosen
Sangamner is a town in the Ahmednagar district of Maharashtra, India, known as a commercial and educational hub in the northern part of the district.
-
B.
Rajapur
Rajapur is a town in the Chitrakoot district of Uttar Pradesh, India, known for its religious significance and proximity to sites associated with the epic Ramayana.
-
C.
Valmikinagar
Valmikinagar is a town in Bihar, India, known for its proximity to the Valmiki Tiger Reserve and its location along the Gandak River near the Indo-Nepal border.
-
D.
Nagole
Nagole is a residential and commercial neighborhood in Hyderabad, India, served as a key terminus and transit hub on the Hyderabad Metro network.
-
E.
Sanganer
Sanganer is a suburban town near Jaipur in Rajasthan, India, known for its traditional hand block printing, handmade paper industry, and historic Jain temples.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc28fec81909c39d432094d9cdd |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012edbce988190a784448ba8a258a5 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:34 a.m.