Triple
T14164035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uppal |
E351022
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Nagole |
E354388
|
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: Nagole | Statement: [Uppal, locatedNear, Nagole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagole Context triple: [Uppal, locatedNear, Nagole]
-
A.
Nagole
chosen
Nagole is a residential and commercial neighborhood in Hyderabad, India, served as a key terminus and transit hub on the Hyderabad Metro network.
-
B.
Lakkundi
Lakkundi is a historic village in Karnataka, India, renowned for its intricately carved medieval temples and stepwells built during the Western Chalukya period.
-
C.
Narsingi
Narsingi is a rapidly developing residential and commercial suburb in the western part of Hyderabad, Telangana, known for its proximity to the IT corridor and Outer Ring Road.
-
D.
Ulhasnagar
Ulhasnagar is a city in the Mumbai Metropolitan Region of Maharashtra, India, known for its large Sindhi community and extensive furniture and textile markets.
-
E.
Narsapur
Narsapur is a prominent town in Telangana, India, known as one of the major urban centers of Medak district.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b207cc8190b85b1ff0910b54da |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bb5a64c81908cb8c50bbfa239a4 |
completed | May 8, 2026, 3:42 a.m. |
Created at: April 10, 2026, 12:59 a.m.