Triple

T3698380
Position Surface form Disambiguated ID Type / Status
Subject Andaman Islands E78511 entity
Predicate ethnicGroup P194 FINISHED
Object Onge E18994 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: Onge | Statement: [Andaman Islands, ethnicGroup, Onge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Onge
Context triple: [Andaman Islands, ethnicGroup, Onge]
  • A. Onge chosen
    The Onge are one of the indigenous Negrito peoples of the Andaman Islands, known for their traditionally nomadic hunter-gatherer lifestyle and critically small population.
  • B. Oghi
    Oghi is a town in Pakistan's Khyber Pakhtunkhwa province, known as a local administrative and commercial center within the Hazara region.
  • C. Obanliku
    Obanliku is a local government area in southeastern Nigeria known for its scenic highland landscapes and cool climate within Cross River State.
  • D. Oni
    Oni is a small town in the Racha region of northwestern Georgia, known for its mountainous surroundings and traditional Georgian architecture.
  • E. Notsi
    Notsi is an Oceanic language spoken in parts of Papua New Guinea, belonging to the Meso-Melanesian branch of the Austronesian language family.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc512ba188190a15bcacafac3f476 completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3dbb7fc81909df2e7a4755cce28 completed March 14, 2026, 2:11 a.m.
Created at: March 8, 2026, 3:26 p.m.