Triple

T3227670
Position Surface form Disambiguated ID Type / Status
Subject Indian Navy E67661 entity
Predicate hasNavalBase P1869 FINISHED
Object INS Kalinga E333867 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 Kalinga | Statement: [Indian Navy, hasNavalBase, INS Kalinga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: INS Kalinga
Context triple: [Indian Navy, hasNavalBase, INS Kalinga]
  • A. INS Kalinga chosen
    INS Kalinga is an Indian Navy shore establishment that serves as a key missile and armament depot and support base on the country’s eastern seaboard.
  • B. Kalinga
    Kalinga was an ancient Indian kingdom on the eastern coast of the subcontinent, historically renowned for the devastating Kalinga War that profoundly influenced Emperor Ashoka’s embrace of Buddhism and nonviolence.
  • C. Kalinga
    Kalinga is a landlocked province in the northern Philippines known for its mountainous terrain, indigenous cultures, and traditional tattooing practices.
  • D. Kalamansig
    Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
  • E. Surigaonon
    Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the Philippines.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaeb5e67c819082070d108d3613ba completed March 8, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b26262af848190a918f3a606bfa616 completed March 12, 2026, 6:51 a.m.
Created at: March 8, 2026, 3:08 p.m.