Triple
T7045962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chunar Fort |
E163630
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Varanasi city |
E26092
|
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: Varanasi city | Statement: [Chunar Fort, near, Varanasi city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varanasi city Context triple: [Chunar Fort, near, Varanasi city]
-
A.
Varanasi
chosen
Varanasi is an ancient city on the banks of the Ganges in northern India, revered as one of Hinduism’s holiest pilgrimage sites and a major center of religious, cultural, and spiritual life.
-
B.
Ayodhya
Ayodhya is an ancient city in India revered in Hinduism as the birthplace of Lord Rama and a major pilgrimage site.
-
C.
Varanasi South
Varanasi South is a legislative assembly constituency in Uttar Pradesh, India, forming part of the Varanasi parliamentary seat and representing a key urban segment of the historic city.
-
D.
Haridwar
Haridwar is a major pilgrimage city in the Indian state of Uttarakhand, revered as one of Hinduism’s holiest sites and a key gateway to the Himalayas.
-
E.
Varanasi North
Varanasi North is a legislative assembly constituency in the northern part of Varanasi city in Uttar Pradesh, 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e238c7a4819095f5ff7283d48da8 |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c794429b648190b6399a2447db07d0 |
completed | March 28, 2026, 8:41 a.m. |
Created at: March 27, 2026, 2:37 p.m.