Triple

T14738037
Position Surface form Disambiguated ID Type / Status
Subject Shishumar-class submarine E346264 entity
Predicate builderOf P3143 FINISHED
Object INS Shankul E1117620 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: INS Shankul | Statement: [Shishumar-class submarine, builderOf, INS Shankul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: INS Shankul
Context triple: [Shishumar-class submarine, builderOf, INS Shankul]
  • A. INS Shankul chosen
    INS Shankul is an Indian Navy diesel-electric attack submarine of the German-designed Shishumar class, used primarily for anti-ship and anti-submarine warfare.
  • B. Mukul Sharma
    Mukul Sharma was an Indian writer, journalist, and science fiction author known for his popular science columns and for inspiring several acclaimed film adaptations.
  • C. Vijay Kumar
    Vijay Kumar is a prominent roboticist and engineer known for his pioneering work in multi-robot systems and aerial robotics.
  • D. Suraj Bhan
    Suraj Bhan was an Indian archaeologist noted for his work on the Indus Valley Civilization, including early research at the Rakhigarhi site.
  • E. Nirvikar Singh
    Nirvikar Singh is an economist and academic known for his contributions to economic theory and policy, associated with leading institutions such as the Delhi School of Economics.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73264848190be23c5f0260cbe13 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ce6514c8190a37b023dcc0c1b1a completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:29 a.m.