Triple
T4149977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magarpatta |
E89879
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Magarpatta City |
E89879
|
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: Magarpatta City | Statement: [Magarpatta, hasPart, Magarpatta City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magarpatta City Context triple: [Magarpatta, hasPart, Magarpatta City]
-
A.
Magarpatta
chosen
Magarpatta is a planned integrated township in Pune, India, known for its large IT park, residential complexes, and commercial infrastructure.
-
B.
Udaipur
Udaipur is a historic city in India renowned for its lakes, palaces, and role as a former capital of the Mewar kingdom.
-
C.
Udaipur
Udaipur is a historic town in the Indian state of Tripura, known for its ancient temples and scenic lakes.
-
D.
Jaipur Walled City
Jaipur Walled City is the historic, planned old quarter of Jaipur in Rajasthan, renowned for its pink-hued architecture, royal palaces, and bustling traditional bazaars.
-
E.
Nashik
Nashik is a historic city in the Indian state of Maharashtra, known for its religious significance in Hinduism and as a major center of wine production.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0273a038819087db092da234e767 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f34c748819093d03ccddd3e1f75 |
completed | March 14, 2026, 3:31 p.m. |
Created at: March 9, 2026, 3:43 p.m.