Triple

T780849
Position Surface form Disambiguated ID Type / Status
Subject Kiribati E16491 entity
Predicate hasAtoll P970 FINISHED
Object Banaba
Banaba is a raised coral island in the Pacific Ocean that is part of the Republic of Kiribati and is known for its rich phosphate deposits and dramatic environmental history.
E94656 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: Banaba | Statement: [Kiribati, hasAtoll, Banaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banaba
Context triple: [Kiribati, hasAtoll, Banaba]
  • A. Mangifera
    Mangifera is a genus of tropical fruit-bearing trees in the cashew family, best known for including the cultivated mango species.
  • B. Hovenia
    Hovenia is a small genus of flowering trees and shrubs, best known for the Japanese raisin tree (Hovenia dulcis), valued for its sweet, edible fruit stalks and use in traditional medicine.
  • C. Morus
    Morus is a genus of deciduous trees commonly known as mulberries, valued for their sweet, edible fruits and use in silkworm cultivation.
  • D. Taro
    Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
  • E. Tebu
    Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
  • 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: Banaba
Triple: [Kiribati, hasAtoll, Banaba]
Generated description
Banaba is a raised coral island in the Pacific Ocean that is part of the Republic of Kiribati and is known for its rich phosphate deposits and dramatic environmental history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Banaba
Target entity description: Banaba is a raised coral island in the Pacific Ocean that is part of the Republic of Kiribati and is known for its rich phosphate deposits and dramatic environmental history.
  • A. Mangifera
    Mangifera is a genus of tropical fruit-bearing trees in the cashew family, best known for including the cultivated mango species.
  • B. Hovenia
    Hovenia is a small genus of flowering trees and shrubs, best known for the Japanese raisin tree (Hovenia dulcis), valued for its sweet, edible fruit stalks and use in traditional medicine.
  • C. Morus
    Morus is a genus of deciduous trees commonly known as mulberries, valued for their sweet, edible fruits and use in silkworm cultivation.
  • D. Taro
    Taro is a common Japanese male given name, often written with kanji meaning "eldest son" or similar traditional connotations.
  • E. Tebu
    Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
  • 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_69a67efa8dd481909097c551bf3a61dc completed March 3, 2026, 6:26 a.m.
NEDg Description generation batch_69a67f6ed2b08190bd03d34e60498110 completed March 3, 2026, 6:27 a.m.
NED2 Entity disambiguation (via description) batch_69a68257aab88190a7aefda939dc7f97 completed March 3, 2026, 6:40 a.m.
Created at: March 1, 2026, 7:37 p.m.