Triple
T14296813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osman Sagar Dam |
E354459
|
entity |
| Predicate | nearbyLocality |
P4647
|
FINISHED |
| Object | Gandipet |
E359035
|
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: Gandipet | Statement: [Osman Sagar Dam, nearbyLocality, Gandipet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gandipet Context triple: [Osman Sagar Dam, nearbyLocality, Gandipet]
-
A.
Gandipet
chosen
Gandipet is a locality on the outskirts of Hyderabad, India, best known for the nearby Osman Sagar (Gandipet Lake) and its popular lakeside recreational areas.
-
B.
Gachibowli
Gachibowli is a major IT and residential hub in Hyderabad, India, known for its technology parks, corporate offices, and educational institutions.
-
C.
Kadugodi
Kadugodi is a suburban neighborhood in the eastern part of Bengaluru, India, known for its residential areas, markets, and proximity to major IT and industrial hubs.
-
D.
Ravulapalem
Ravulapalem is a town in the Indian state of Andhra Pradesh, known for its agricultural markets and location along key transport routes in the Godavari region.
-
E.
Bachupally
Bachupally is a rapidly developing residential and educational suburb in the northwestern part of Hyderabad, India.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717cfc948190ace5f1c91283b1c3 |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94a018c88190b4fdbf36687ad973 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:11 a.m.