Triple
T23308571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bundelkhand plateau |
E590516
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Orchha |
—
|
NE NERFINISHED |
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: Orchha | Statement: [Bundelkhand plateau, hasTown, Orchha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orchha Context triple: [Bundelkhand plateau, hasTown, Orchha]
-
A.
Orchha
chosen
Orchha is a historic town in central India renowned for its medieval palaces, temples, and riverside cenotaphs built by the Bundela Rajput rulers.
-
B.
Orchha Fort
Orchha Fort is a historic riverside fort complex in Madhya Pradesh, India, renowned for its blend of Rajput and Mughal architecture and its palaces, temples, and scenic views over the Betwa River.
-
C.
Chanderi
Chanderi is a historic town in central India renowned for its medieval architecture and its traditional handwoven Chanderi silk and cotton textiles.
-
D.
Sawai Madhopur
Sawai Madhopur is a town in Rajasthan, India, best known as the main gateway to the tiger-rich Ranthambore region and its historic fort.
-
E.
Baghpat
Baghpat is a town and district headquarters in the Indian state of Uttar Pradesh, situated near Delhi and known for its agricultural economy and growing integration into the National Capital Region’s urban network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197292fd08190bc364e1433dde213 |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:05 p.m.