Triple
T14875976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birla Mandir, Hyderabad |
E349867
|
entity |
| Predicate | accessibleFrom |
P1985
|
FINISHED |
| Object | Khairatabad |
E349869
|
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: Khairatabad | Statement: [Birla Mandir, Hyderabad, accessibleFrom, Khairatabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khairatabad Context triple: [Birla Mandir, Hyderabad, accessibleFrom, Khairatabad]
-
A.
Khairatabad
chosen
Khairatabad is a prominent commercial and administrative locality in central Hyderabad, India, known for its major government offices, busy junction, and proximity to key city landmarks.
-
B.
Shaikpet
Shaikpet is a residential and commercial neighborhood in Hyderabad, India, known for its proximity to rapidly developing suburbs like Manikonda.
-
C.
Vikarabad
Vikarabad is a town in the Indian state of Telangana known for its nearby Ananthagiri Hills, a popular hill station and trekking destination.
-
D.
Khairabad
Khairabad is a town in northern India historically known as a center of Islamic scholarship and Urdu and Persian literary culture.
-
E.
Kukatpally
Kukatpally is a major residential and commercial suburb in Hyderabad, India, known for its dense population, shopping areas, and proximity to the IT corridor.
- 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_69fe7e8192548190ad268b5804c97060 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 1:55 a.m.