Triple

T13925991
Position Surface form Disambiguated ID Type / Status
Subject Odias E334861 entity
Predicate historicalRegion P915 FINISHED
Object Kalinga E139282 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: Kalinga | Statement: [Odias, historicalRegion, Kalinga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalinga
Context triple: [Odias, historicalRegion, Kalinga]
  • A. Kalinga
    Kalinga is a landlocked province in the northern Philippines known for its mountainous terrain, indigenous cultures, and traditional tattooing practices.
  • B. Kalinga chosen
    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. Sasmuan
    Sasmuan is a coastal municipality in the province of Pampanga in the Philippines, known for its fishing industry, wetlands, and bird-watching sites.
  • D. Naga kingdom
    The Naga kingdom is a mythical subterranean realm in Hindu mythology inhabited by serpent deities (Nagas) and often associated with episodes in the Mahabharata and other ancient texts.
  • E. Kulata
    Kulata is a village in southwestern Bulgaria near the Greek border, serving as an important border crossing and transport hub between the two countries.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa7e9248190b0523415b9224e2f completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1c67e2c8190a14b273af0d93b0a completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:16 p.m.