Triple
T14875284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madhapur |
E349850
|
entity |
| Predicate | hasNearbyArea |
P4647
|
FINISHED |
| Object | Jubilee Hills |
E353088
|
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: Jubilee Hills | Statement: [Madhapur, hasNearbyArea, Jubilee Hills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jubilee Hills Context triple: [Madhapur, hasNearbyArea, Jubilee Hills]
-
A.
Jubilee Hills
chosen
Jubilee Hills is an affluent residential and commercial neighborhood in Hyderabad, India, known for its upscale real estate, celebrity residents, and proximity to major IT and business districts.
-
B.
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.
-
C.
GTB Nagar
GTB Nagar is a prominent suburban railway station in Mumbai, India, serving commuters on the city’s Harbour Line.
-
D.
T. Nagar
T. Nagar is a major commercial and residential neighborhood in Chennai, India, best known as one of the city’s busiest shopping districts for textiles and jewelry.
-
E.
Wimco Nagar
Wimco Nagar is a coastal neighborhood in North Chennai, India, known for its residential areas, industrial presence, and railway/metro connectivity.
- 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_69fe72aad76c8190b024651483d8f9ff |
completed | May 8, 2026, 11:32 p.m. |
Created at: April 10, 2026, 1:55 a.m.