Triple

T16200032
Position Surface form Disambiguated ID Type / Status
Subject Butaritari District E393172 entity
Predicate capital P234 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 District, capital, Butaritari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Butaritari
Context triple: [Butaritari District, capital, 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e22709b0d88190b40787e0520d02ab completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ecf454081909660f4ab9c556ddc completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:03 a.m.