Triple
T6972160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirzapur district |
E161622
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Chunar
Chunar is a historic town in Uttar Pradesh, India, known for its ancient fort overlooking the Ganges River and its traditional pottery.
|
E163630
|
NE FINISHED |
How this triple was built (4 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: Chunar | Statement: [Mirzapur district, contains, Chunar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chunar Context triple: [Mirzapur district, contains, Chunar]
-
A.
Chunar Fort
Chunar Fort is a historic hilltop fortress in Uttar Pradesh, India, known for its strategic location on the Ganges and its association with various dynasties, including the Mughals and the British.
-
B.
Nagara Khanda
Nagara Khanda is a major section of the Skanda Purana that focuses on sacred cities, their legends, and associated religious practices in Hindu tradition.
-
C.
Sachkhere
Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
-
D.
Khajauli
Khajauli is a town located in the Madhubani district of the Indian state of Bihar.
-
E.
Guppee
Guppee is a fictional kingdom from Salman Rushdie’s novel "Haroun and the Sea of Stories," known for its talkative, freedom-loving inhabitants and its opposition to the land of Chup.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chunar Triple: [Mirzapur district, contains, Chunar]
Generated description
Chunar is a historic town in Uttar Pradesh, India, known for its ancient fort overlooking the Ganges River and its traditional pottery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chunar Target entity description: Chunar is a historic town in Uttar Pradesh, India, known for its ancient fort overlooking the Ganges River and its traditional pottery.
-
A.
Chunar Fort
chosen
Chunar Fort is a historic hilltop fortress in Uttar Pradesh, India, known for its strategic location on the Ganges and its association with various dynasties, including the Mughals and the British.
-
B.
Nagara Khanda
Nagara Khanda is a major section of the Skanda Purana that focuses on sacred cities, their legends, and associated religious practices in Hindu tradition.
-
C.
Sachkhere
Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
-
D.
Khajauli
Khajauli is a town located in the Madhubani district of the Indian state of Bihar.
-
E.
Guppee
Guppee is a fictional kingdom from Salman Rushdie’s novel "Haroun and the Sea of Stories," known for its talkative, freedom-loving inhabitants and its opposition to the land of Chup.
- F. None of above.
Provenance (5 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db398f10819096d34b179ccb20d5 |
completed | March 27, 2026, 7:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761a2b2f481908718b4803cfbfae9 |
completed | March 28, 2026, 5:05 a.m. |
| NEDg | Description generation | batch_69c763a3c2788190a84991602dba4f78 |
completed | March 28, 2026, 5:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c76423f7808190a9bdc43c4e99617a |
completed | March 28, 2026, 5:16 a.m. |
Created at: March 27, 2026, 2:30 p.m.