Triple

T16335162
Position Surface form Disambiguated ID Type / Status
Subject Butaritari Airport E396657 entity
Predicate category P87 FINISHED
Object Butaritari E93414 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: Butaritari | Statement: [Butaritari Airport, category, Butaritari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Butaritari
Context triple: [Butaritari Airport, category, Butaritari]
  • A. Butaritari chosen
    Butaritari is a fertile, heavily vegetated coral atoll in the northern Gilbert Islands of Kiribati, known for its World War II history and traditional subsistence agriculture.
  • B. Butaro
    Butaro is a rural area in northern Rwanda known for its innovative, community-focused district hospital and scenic hilly landscape.
  • C. Barutana
    Barutana is a historic gunpowder storage complex within Belgrade Fortress, now often used as a cultural and event space.
  • D. Beitunia
    Beitunia is a Palestinian town located near Ramallah in the central West Bank.
  • E. Bakairi
    Bakairi is an indigenous Cariban language spoken by the Bakairi people of central Brazil.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e29db88190936a07deb5b1c1e3 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a004f3f93348190b835218ae42f3463 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:07 a.m.