Triple
T16529195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lohegaon |
E401518
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Viman Nagar |
E415634
|
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: Viman Nagar | Statement: [Lohegaon, locatedNear, Viman Nagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viman Nagar Context triple: [Lohegaon, locatedNear, Viman Nagar]
-
A.
Viman Nagar
chosen
Viman Nagar is a prominent residential and commercial neighborhood in Pune, India, known for its proximity to the airport, IT parks, shopping malls, and educational institutions.
-
B.
Besant Nagar
Besant Nagar is a coastal residential neighborhood in Chennai, India, known for its popular beachfront, eateries, and vibrant social and religious landmarks.
-
C.
Netaji Nagar
Netaji Nagar is a small coastal village located on Little Andaman Island in the Andaman and Nicobar Islands of India.
-
D.
Banjara Hills
Banjara Hills is an upscale commercial and residential neighborhood in Hyderabad, India, known for its luxury hotels, shopping areas, and affluent residences.
-
E.
Vartak Nagar
Vartak Nagar is a prominent residential and commercial locality in the city of Thane, Maharashtra, known for its dense housing complexes and proximity to major industrial and business areas.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed625208190a68b879266b05b3f |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00608efd0c81908e64419bd74eb285 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:14 a.m.