Triple
T9092079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pratapgarh State |
E217913
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Pratapgarh |
E655921
|
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: Pratapgarh | Statement: [Pratapgarh State, capital, Pratapgarh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pratapgarh Context triple: [Pratapgarh State, capital, Pratapgarh]
-
A.
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.
-
B.
Pratapgarh city
chosen
Pratapgarh city is an urban center in the Indian state of Uttar Pradesh known for serving as a local hub of administration, trade, and services for the surrounding region.
-
C.
Anupgarh
Anupgarh is a town in the Ganganagar district of Rajasthan, India, known for its agricultural surroundings and proximity to the India–Pakistan border.
-
D.
Jalore
Jalore is a historic town and district headquarters in the Indian state of Rajasthan, known for its ancient fort and role in the Marwar region’s history.
-
E.
Madhepura
Madhepura is a town and district headquarters in the eastern Indian state of Bihar, known for its agricultural economy and regional administrative importance.
- 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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b18b24819097b525ddad3a85c0 |
completed | April 1, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d03007ed908190afd34cf3f32312e9 |
completed | April 3, 2026, 9:24 p.m. |
Created at: March 30, 2026, 7:14 p.m.