Triple

T3839423
Position Surface form Disambiguated ID Type / Status
Subject Butaritari E93414 entity
Predicate hasSettlement P1068 FINISHED
Object Tabonibara
Tabonibara is a village located on the atoll of Butaritari in the island nation of Kiribati in the central Pacific Ocean.
E393173 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: Tabonibara | Statement: [Butaritari, hasSettlement, Tabonibara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tabonibara
Context triple: [Butaritari, hasSettlement, Tabonibara]
  • A. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • B. Bugotu
    Bugotu is an Austronesian language of the Meso-Melanesian subgroup spoken primarily on Santa Isabel Island in the Solomon Islands.
  • C. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • D. Subanen
    The Subanen are an indigenous ethnic group in the southern Philippines known for their upland farming lifestyle, rich oral traditions, and distinct language and rituals.
  • E. Butuan
    Butuan is a historically significant city in the Caraga region of northeastern Mindanao in the Philippines, known for its rich pre-colonial heritage and archaeological sites.
  • 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: Tabonibara
Triple: [Butaritari, hasSettlement, Tabonibara]
Generated description
Tabonibara is a village located on the atoll of Butaritari in the island nation of Kiribati in the central Pacific Ocean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tabonibara
Target entity description: Tabonibara is a village located on the atoll of Butaritari in the island nation of Kiribati in the central Pacific Ocean.
  • A. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • B. Bugotu
    Bugotu is an Austronesian language of the Meso-Melanesian subgroup spoken primarily on Santa Isabel Island in the Solomon Islands.
  • C. Kibushi
    Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
  • D. Subanen
    The Subanen are an indigenous ethnic group in the southern Philippines known for their upland farming lifestyle, rich oral traditions, and distinct language and rituals.
  • E. Butuan
    Butuan is a historically significant city in the Caraga region of northeastern Mindanao in the Philippines, known for its rich pre-colonial heritage and archaeological sites.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeb9f305c8190b71ac53bbb0c4beb completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5040a8b808190874ad1a5152adf1f completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b504b2ba748190af2df2a318ab0693 completed March 14, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_69b50534242c8190a1d4658e7896c2be completed March 14, 2026, 6:50 a.m.
Created at: March 9, 2026, 3:18 p.m.