Triple

T14738036
Position Surface form Disambiguated ID Type / Status
Subject Shishumar-class submarine E346264 entity
Predicate builderOf P3143 FINISHED
Object INS Shalki E1117619 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 Shalki | Statement: [Shishumar-class submarine, builderOf, INS Shalki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: INS Shalki
Context triple: [Shishumar-class submarine, builderOf, INS Shalki]
  • A. INS Shalki chosen
    INS Shalki is an Indian Navy diesel-electric attack submarine of German design, notable as one of the first submarines to be built in India.
  • B. Faisaly
    Faisaly is the commonly used short name for Al-Faisaly SC, a professional football club based in Saudi Arabia.
  • C. Dhaka Dynamites
    Dhaka Dynamites is a professional Twenty20 cricket franchise team that competes in the Bangladesh Premier League.
  • D. Shergarh
    Shergarh is a town in the Jodhpur district of Rajasthan, India, known for its rural setting and local administrative significance.
  • E. Shergarh
    Shergarh is the inner fortification within Pakistan’s historic Ranikot Fort, noted for its strategic defensive position and architectural significance.
  • 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.