Triple
T17209007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cybercity Magarpatta |
E417674
|
entity |
| Predicate | partOf |
P40
|
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: [Cybercity Magarpatta, partOf, Magarpatta City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magarpatta City Context triple: [Cybercity Magarpatta, partOf, 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.
Udaipur
Udaipur is a town in the Lahaul and Spiti district of Himachal Pradesh, India, known for its scenic Himalayan setting and the ancient Mrikula Devi Temple.
-
E.
Pushkar bazaar
Pushkar bazaar is a bustling traditional market in the holy town of Pushkar, Rajasthan, known for its vibrant handicrafts, textiles, jewelry, and local souvenirs that attract pilgrims and tourists alike.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc3b0ec8190b8c9fc401da5770c |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fe0a28c8190a76b3a356f7e0478 |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:38 a.m.