Triple
T4515656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jyotisar |
E102146
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Kurukshetra |
E430745
|
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: [Jyotisar, nearbyCity, Kurukshetra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurukshetra Context triple: [Jyotisar, nearbyCity, Kurukshetra]
-
A.
Kurukshetra battlefield
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.
Hastinapura
Hastinapura is the ancient royal capital of the Kuru kingdom in Indian epic tradition, serving as the primary political and familial setting of the Mahabharata.
-
C.
Ayodhya
Ayodhya is an ancient city in India revered in Hinduism as the birthplace of Lord Rama and a major pilgrimage site.
-
D.
Thanesar
chosen
Thanesar is a historic town in the Indian state of Haryana, renowned as an ancient center of learning and a significant site in Hindu mythology and the Mahabharata.
-
E.
Kannauj
Kannauj is a historic town and parliamentary constituency in Uttar Pradesh, India, renowned for its ancient heritage and traditional perfume (attar) industry.
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5725745c81908bb462ba9537ae14 |
completed | March 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda42bd41c8190a9a25ccea6947089 |
completed | March 20, 2026, 7:46 p.m. |
Created at: March 20, 2026, 1:02 p.m.