Triple
T14875395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kokapet |
E349853
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Narsingi |
E1085388
|
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: Narsingi | Statement: [Kokapet, locatedNear, Narsingi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narsingi Context triple: [Kokapet, locatedNear, Narsingi]
-
A.
Narsingi
chosen
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.
-
B.
Nagole
Nagole is a residential and commercial neighborhood in Hyderabad, India, served as a key terminus and transit hub on the Hyderabad Metro network.
-
C.
Ghansoli
Ghansoli is a rapidly developing residential and commercial node in Navi Mumbai, Maharashtra, known for its growing IT parks, educational institutions, and connectivity to Mumbai via rail and road.
-
D.
Ramdurg
Ramdurg is a town in the Indian state of Karnataka, known for its historical temples and its location within the Belagavi region.
-
E.
Vallabhnagar
Vallabhnagar is a town in the Indian state of Rajasthan, known for its rural setting and administrative role within the Udaipur region.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e3e5d48190a132f2cf012b01e2 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9687a5888190a6e6ffd781f64edc |
completed | May 9, 2026, 2:05 a.m. |
Created at: April 10, 2026, 1:55 a.m.