Triple
T3848386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhondu Pant |
E85228
|
entity |
| Predicate | associatedWithPlace |
P2830
|
FINISHED |
| Object | Bithoor |
E327413
|
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: Bithoor | Statement: [Dhondu Pant, associatedWithPlace, Bithoor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bithoor Context triple: [Dhondu Pant, associatedWithPlace, Bithoor]
-
A.
Bithoor
chosen
Bithoor is a historic town in Uttar Pradesh, India, known for its religious significance on the banks of the Ganges and its prominent role in the Indian Rebellion of 1857.
-
B.
Hajipur
Hajipur is a prominent city in the Indian state of Bihar, known as an important railway and commercial hub located near the state capital, Patna.
-
C.
Budaun
Budaun is a historic city in the Rohilkhand region of Uttar Pradesh, India, known for its medieval heritage and cultural significance.
-
D.
Hazaribagh
Hazaribagh is a town in the Indian state of Jharkhand known for its scenic hills, pleasant climate, and proximity to Hazaribagh National Park.
-
E.
Rampur
Rampur is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeebcc8a0481909c35161336bdfbf9 |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b53fe2a3dc8190bf216d6f43439e58 |
completed | March 14, 2026, 11 a.m. |
Created at: March 9, 2026, 3:19 p.m.