Triple

T3351743
Position Surface form Disambiguated ID Type / Status
Subject Gilbert Islands E70511 entity
Predicate hasIsland P970 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: [Gilbert Islands, hasIsland, Butaritari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Butaritari
Context triple: [Gilbert Islands, hasIsland, 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. Bakultala
    Bakultala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • C. Gwarinpa
    Gwarinpa is a large, planned residential district in Abuja, Nigeria, known for its extensive housing estates and relatively well-organized urban layout.
  • D. Malaita
    Malaita is one of the main islands of the Solomon Islands in the South Pacific, known for its large population, rich traditional culture, and historical role in regional labor trade.
  • E. Boroko
    Boroko is a major residential and commercial suburb of Port Moresby in Papua New Guinea, known for its shopping areas and sports facilities.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb221a7d8819086cd0f826eca0fe8 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3252f3f248190bb61db5c4fd2781a completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:12 p.m.