Triple
T902919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arjuna |
E19483
|
entity |
| Predicate | kingdomAssociatedWith |
P20193
|
FINISHED |
| Object | Hastinapura |
E114385
|
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: Hastinapura | Statement: [Arjuna, kingdomAssociatedWith, Hastinapura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hastinapura Context triple: [Arjuna, kingdomAssociatedWith, Hastinapura]
-
A.
Hastinapura
chosen
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.
-
B.
Dahanapura
Dahanapura was the principal city and political center of the historical Kediri Kingdom in Java.
-
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.
Mathura
Mathura is an ancient city in northern India revered in Hinduism as the birthplace of Lord Krishna and a major pilgrimage center.
-
E.
Magahi
Magahi is an Eastern Indo-Aryan language spoken primarily in the Indian state of Bihar and surrounding regions.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2b9339081909af5ab231be39bb0 |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac6611ad508190aac3a6f15a63bbe8 |
completed | March 7, 2026, 5:53 p.m. |
Created at: March 1, 2026, 7:39 p.m.