Triple
T4854454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purvanchal |
E108501
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Kushinagar |
E277445
|
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: Kushinagar | Statement: [Purvanchal, hasCity, Kushinagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kushinagar Context triple: [Purvanchal, hasCity, Kushinagar]
-
A.
Kushinagar
chosen
Kushinagar is an important Buddhist pilgrimage town in India, revered as the place where the Buddha attained parinirvana (final nirvana).
-
B.
Sarnath
Sarnath is an important Buddhist pilgrimage site near Varanasi in Uttar Pradesh, India, where Gautama Buddha is believed to have delivered his first sermon after attaining enlightenment.
-
C.
Dharmakshetra
Dharmakshetra is the sacred battlefield of Kurukshetra in the Indian epic Mahabharata, revered as a holy site where the Bhagavad Gita was spoken.
-
D.
Bodh Gaya
Bodh Gaya is a major Buddhist pilgrimage town in Bihar, India, revered as the place where Siddhartha Gautama attained enlightenment and became the Buddha.
-
E.
Betapur
Betapur 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d3c9d7881908c04cef2cb7db745 |
completed | March 20, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5ce7385c8190897fd2343c0ebeed |
completed | March 21, 2026, 8:55 a.m. |
Created at: March 20, 2026, 1:26 p.m.