Triple
T14876397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyderabad Deccan railway station |
E349877
|
entity |
| Predicate | locatedInLocality |
P44412
|
FINISHED |
| Object | Nampally |
E350665
|
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: Nampally | Statement: [Hyderabad Deccan railway station, locatedInLocality, Nampally]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nampally Context triple: [Hyderabad Deccan railway station, locatedInLocality, Nampally]
-
A.
Nampally
chosen
Nampally is a central neighborhood in Hyderabad, India, known for its major railway station, commercial activity, and proximity to key administrative and cultural landmarks.
-
B.
Dilsukhnagar
Dilsukhnagar is a major commercial and residential hub in Hyderabad, India, known for its bustling markets, educational institutions, and busy transport connections.
-
C.
Ameerpet
Ameerpet is a major commercial and educational hub in Hyderabad, India, known for its dense concentration of training institutes, offices, and shopping centers.
-
D.
Ibrahimpatnam
Ibrahimpatnam is a town in the Indian state of Telangana, known as a suburban and educational hub within the Hyderabad metropolitan region.
-
E.
Gachibowli
Gachibowli is a major IT and residential hub in Hyderabad, India, known for its technology parks, corporate offices, and educational institutions.
- 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_69ded5e4e4448190a8796573bc6d1069 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae005644819098937cedb53202c5 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 1:55 a.m.