Triple
T3357981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HITEC City |
E70649
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Madhapur |
E349850
|
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: Madhapur | Statement: [HITEC City, adjacentTo, Madhapur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madhapur Context triple: [HITEC City, adjacentTo, Madhapur]
-
A.
Madhapur
chosen
Madhapur is a major IT and business district in Hyderabad, India, known for its technology parks, corporate offices, and modern urban infrastructure.
-
B.
Damoh
Damoh is a city in central India that serves as the administrative headquarters of Damoh district in the state of Madhya Pradesh.
-
C.
Jaipuri
Jaipuri is a regional Indo-Aryan language variety spoken in and around Jaipur in the Indian state of Rajasthan.
-
D.
Budaun
Budaun is a historic city in the Rohilkhand region of Uttar Pradesh, India, known for its medieval heritage and cultural significance.
-
E.
Warangal
Warangal is a historic city in southern India known for its Kakatiya-era forts, temples, and monuments, and is one of the major urban centers of the state of Telangana.
- 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_69ad85a660c48190998489309a3b4869 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb244435c81908e35d2aa36ec4f46 |
completed | March 8, 2026, 5:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3253e91988190bbfdafdf88ab0df1 |
completed | March 12, 2026, 8:42 p.m. |
Created at: March 8, 2026, 3:13 p.m.