Triple

T780839
Position Surface form Disambiguated ID Type / Status
Subject Kiribati E16491 entity
Predicate hasAtoll P970 FINISHED
Object Butaritari
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.
E93414 NE FINISHED

How this triple was built (4 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: [Kiribati, hasAtoll, Butaritari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Butaritari
Context triple: [Kiribati, hasAtoll, Butaritari]
  • A. Gwarinpa
    Gwarinpa is a large, planned residential district in Abuja, Nigeria, known for its extensive housing estates and relatively well-organized urban layout.
  • B. 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.
  • C. Toubou
    Toubou are a traditionally nomadic Saharan ethnic group primarily inhabiting northern Chad, southern Libya, and surrounding regions.
  • D. Negaraku
    Negaraku is the national anthem of Malaysia, symbolizing the country's sovereignty and unity.
  • E. Bauta
    Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Butaritari
Triple: [Kiribati, hasAtoll, Butaritari]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Butaritari
Target entity description: 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.
  • A. Gwarinpa
    Gwarinpa is a large, planned residential district in Abuja, Nigeria, known for its extensive housing estates and relatively well-organized urban layout.
  • B. 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.
  • C. Toubou
    Toubou are a traditionally nomadic Saharan ethnic group primarily inhabiting northern Chad, southern Libya, and surrounding regions.
  • D. Negaraku
    Negaraku is the national anthem of Malaysia, symbolizing the country's sovereignty and unity.
  • E. Bauta
    Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
  • F. None of above. chosen

Provenance (5 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a751ea3481908a622d5255249883 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6787ccafc8190a8d31089f906404b completed March 3, 2026, 5:58 a.m.
NEDg Description generation batch_69a678e7922881909fb8044658ce7865 completed March 3, 2026, 6 a.m.
NED2 Entity disambiguation (via description) batch_69a6794a539081908964bbcb2ad04391 completed March 3, 2026, 6:01 a.m.
Created at: March 1, 2026, 7:37 p.m.