Triple
T12771023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vraja Mandala |
E305246
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Nandagaon |
E305241
|
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: Nandagaon | Statement: [Vraja Mandala, hasPart, Nandagaon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nandagaon Context triple: [Vraja Mandala, hasPart, Nandagaon]
-
A.
Nandgaon
chosen
Nandgaon is a historic town in the Braj region of India, revered in Hindu tradition as the childhood home of Lord Krishna and an important pilgrimage site.
-
B.
Nandgaon
Nandgaon is a town in the Nashik district of Maharashtra, India, known for its agricultural surroundings and rail connectivity.
-
C.
Nandod
Nandod is the former name of the town now known as Rajpipla in the Indian state of Gujarat.
-
D.
Ambegaon
Ambegaon is a town in the Pune district of Maharashtra, India, known for its semi-rural setting and proximity to the Western Ghats.
-
E.
Mavli
Mavli is a town in Rajasthan, India, known as a local transport and railway junction within the Udaipur district.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df4b36c81909bcc913dd5e535f8 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f9ba848190b680d730b6a3b972 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:28 p.m.