Triple
T873964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahabharata |
E18874
|
entity |
| Predicate | associatedPlace |
P1481
|
FINISHED |
| Object | Kurukshetra |
E18593
|
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: Kurukshetra | Statement: [Mahabharata, associatedPlace, Kurukshetra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurukshetra Context triple: [Mahabharata, associatedPlace, Kurukshetra]
-
A.
Kurukshetra battlefield
chosen
Kurukshetra battlefield is the legendary war site in the Indian epic Mahabharata where the dialogue between Prince Arjuna and Lord Krishna, recorded as the Bhagavad Gita, takes place.
-
B.
Ayodhya
Ayodhya is an ancient city in India revered in Hinduism as the birthplace of Lord Rama and a major pilgrimage site.
-
C.
Kurukshetra district
Kurukshetra district is an administrative region in northern India renowned as the legendary battlefield of the Mahabharata and a major Hindu pilgrimage center.
-
D.
Mathura
Mathura is an ancient city in northern India revered in Hinduism as the birthplace of Lord Krishna and a major pilgrimage center.
-
E.
Ambala
Ambala is a historic city and important military and transportation hub in the northern Indian state of Haryana.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac992d8c819088800f5a713fa7a4 |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c71e7c448190aa128bfaf26daead |
completed | March 4, 2026, 5:46 a.m. |
Created at: March 1, 2026, 7:39 p.m.