Triple
T14164038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uppal |
E351022
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | LB Nagar |
E354387
|
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: LB Nagar | Statement: [Uppal, locatedNear, LB Nagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LB Nagar Context triple: [Uppal, locatedNear, LB Nagar]
-
A.
LB Nagar
chosen
LB Nagar is a major residential and commercial suburb in the southeastern part of Hyderabad, India, serving as an important transport and civic hub for the city.
-
B.
A L Nagar
A. L. Nagar was a prominent Indian econometrician and statistician known for his influential contributions to econometric theory and education.
-
C.
GTB Nagar
GTB Nagar is a prominent suburban railway station in Mumbai, India, serving commuters on the city’s Harbour Line.
-
D.
GTB Nagar
GTB Nagar is a prominent residential and commercial neighborhood in North Delhi, India, known for its proximity to Delhi University’s North Campus and strong student presence.
-
E.
Kalyani Nagar
Kalyani Nagar is an upscale residential and commercial neighborhood in Pune, India, known for its IT parks, shopping malls, and vibrant dining and nightlife options.
- 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_69fd193dbbcc819082043d92c174164c |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 12:59 a.m.