Triple
T6564407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sorrow of Bihar |
E153865
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Sorrow of Bihar |
E153865
|
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: Sorrow of Bihar | Statement: [Sorrow of Bihar, hasNickname, Sorrow of Bihar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sorrow of Bihar Context triple: [Sorrow of Bihar, hasNickname, Sorrow of Bihar]
-
A.
Sorrow of Bihar
chosen
Sorrow of Bihar is a devastatingly flood-prone river in the Indian state of Bihar, notorious for its frequent course changes and widespread destruction.
-
B.
Swaralipi
Swaralipi is a significant literary and musical work by Bengali polymath Dwijendranath Tagore, reflecting his contributions to early modern Bengali culture and aesthetics.
-
C.
Sakhigeeta
Sakhigeeta is a celebrated collection of Kannada poems by the renowned poet D. R. Bendre, noted for its lyrical depth and philosophical insight.
-
D.
Likhu Khola
Likhu Khola is a river in eastern Nepal that flows through hilly terrain before joining the Koshi River system.
-
E.
Aakrosh
Aakrosh is a critically acclaimed 1980 Indian Hindi-language crime drama film directed by Govind Nihalani, known for its powerful social commentary and intense performances.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae3b9ec8819080f3052556d95810 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d5622e0481909b0ac0f4e06d19bc |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:52 p.m.