Triple
T14875351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manikonda |
E349852
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Film Nagar |
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: Film Nagar | Statement: [Manikonda, near, Film Nagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Film Nagar Context triple: [Manikonda, near, Film Nagar]
-
A.
Damoh
Damoh is a city in central India that serves as the administrative headquarters of Damoh district in the state of Madhya Pradesh.
-
B.
Madhapur
chosen
Madhapur is a major IT and business district in Hyderabad, India, known for its technology parks, corporate offices, and modern urban infrastructure.
-
C.
Auto Nagar
Auto Nagar is an industrial area in Belagavi known primarily for its concentration of automobile-related workshops, small manufacturing units, and service industries.
-
D.
Jaipuri
Jaipuri is a regional Indo-Aryan language variety spoken in and around Jaipur in the Indian state of Rajasthan.
-
E.
Mukti Bhawan
Mukti Bhawan is a critically acclaimed Indian drama film that poignantly explores mortality and family relationships through the story of a man who takes his aging father to Varanasi to spend his final days.
- 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_69fe6b52c12481908d0173a2a3ed854b |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:55 a.m.