Triple
T1916070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bundelkhand |
E40019
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Panna |
E114392
|
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: Panna | Statement: [Bundelkhand, hasCity, Panna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panna Context triple: [Bundelkhand, hasCity, Panna]
-
A.
Panna
chosen
Panna is a town in central India renowned for its diamond mines and proximity to Panna National Park, a noted tiger reserve.
-
B.
Verbania
Verbania is a lakeside city in northern Italy, situated on the shores of Lake Maggiore near the Swiss border.
-
C.
Dhundhari
Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
-
D.
Gajanana
Gajanana is a revered aspect of the Hindu deity Ganesha, emphasizing his elephant-faced form and role as the remover of obstacles and bestower of wisdom.
-
E.
Kareli
Kareli is a town in central Georgia that serves as an important local center within the Shida Kartli region.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1e517e8819086e4bf5a305aeb25 |
completed | March 7, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbae5760819083c046d0941513de |
completed | March 8, 2026, 10:43 p.m. |
Created at: March 4, 2026, 7:35 p.m.