Triple

T6844474
Position Surface form Disambiguated ID Type / Status
Subject Abaiang E157857 entity
Predicate hasSettlement P1068 FINISHED
Object Taburao
Taburao is a village on the atoll of Abaiang in the island nation of Kiribati.
 E689063 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: Taburao | Statement: [Abaiang, hasSettlement, Taburao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taburao
Context triple: [Abaiang, hasSettlement, Taburao]
  • A. Munakata
    Munakata is a coastal city in Japan known for its ancient Munakata Taisha Shinto shrines and its location in northern Fukuoka Prefecture on Kyushu Island.
  • B. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • C. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • D. Miyazya
    Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
  • E. Takashima
    Takashima is a lakeside city in western Shiga Prefecture, Japan, known for its scenic location along Lake Biwa and surrounding mountains.
  • 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: Taburao
Triple: [Abaiang, hasSettlement, Taburao]
Generated description
Taburao is a village on the atoll of Abaiang in the island nation of Kiribati.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taburao
Target entity description: Taburao is a village on the atoll of Abaiang in the island nation of Kiribati.
  • A. Munakata
    Munakata is a coastal city in Japan known for its ancient Munakata Taisha Shinto shrines and its location in northern Fukuoka Prefecture on Kyushu Island.
  • B. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • C. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • D. Miyazya
    Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
  • E. Takashima
    Takashima is a lakeside city in western Shiga Prefecture, Japan, known for its scenic location along Lake Biwa and surrounding mountains.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6b8627081908e34d2b942d08aef completed March 27, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8eee797a881909548186742cf7b66 completed March 29, 2026, 9:20 a.m.
NEDg Description generation batch_69c8ef99d09c8190af2203bc1da07c7c completed March 29, 2026, 9:23 a.m.
NED2 Entity disambiguation (via description) batch_69c8f088fa3c8190bf13aa7a98b4e886 completed March 29, 2026, 9:27 a.m.
Created at: March 27, 2026, 2:19 p.m.