Triple
T12343886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Udaipur City railway station |
E294297
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Udaipur city centre |
E60736
|
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: Udaipur city centre | Statement: [Udaipur City railway station, near, Udaipur city centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Udaipur city centre Context triple: [Udaipur City railway station, near, Udaipur city centre]
-
A.
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.
-
B.
Udaipur
chosen
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.
Magarpatta
Magarpatta is a planned integrated township in Pune, India, known for its large IT park, residential complexes, and commercial infrastructure.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f78a970819086beec3e4da8c49e |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79418e26c819088f3aa608d9d65d6 |
completed | May 3, 2026, 6:29 p.m. |
Created at: April 8, 2026, 9:53 p.m.