Triple
T6734886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orchha |
E153727
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Tikamgarh |
E143463
|
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: Tikamgarh | Statement: [Orchha, nearbyCity, Tikamgarh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tikamgarh Context triple: [Orchha, nearbyCity, Tikamgarh]
-
A.
Tikamgarh
chosen
Tikamgarh is a town and administrative center in central India, known for its historical forts and temples in the state of Madhya Pradesh.
-
B.
Garha-Mandla
Garha-Mandla was a prominent medieval Gond kingdom in central India, known for its regional power and tribal dynastic rule before its eventual incorporation into larger empires.
-
C.
Pratapgarh
Pratapgarh is a town in the Indian state of Rajasthan known for its historical association with the Mewar region and its distinctive tribal culture and handicrafts.
-
D.
Anuppur
Anuppur is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to coal mining areas and natural attractions.
-
E.
Karauli
Karauli is a historic town and pilgrimage center in the Indian state of Rajasthan, known for its ancient temples and distinctive red sandstone architecture.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16ecbe08190b019d547f631a725 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72f86e9848190958e8f7a195fd20b |
completed | March 28, 2026, 1:31 a.m. |
Created at: March 27, 2026, 2:09 p.m.