Triple

T23049793
Position Surface form Disambiguated ID Type / Status
Subject Tembuku District E573975 entity
Predicate hasCapital P204 FINISHED
Object Tembuku
Tembuku is a town in Bali, Indonesia, serving as the administrative center of Tembuku District in Bangli Regency.
E1568899 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: Tembuku | Statement: [Tembuku District, hasCapital, Tembuku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tembuku
Context triple: [Tembuku District, hasCapital, Tembuku]
  • A. Bantumi
    Bantumi is a digital version of the traditional Mancala-style board game that was popularized on early Nokia mobile phones.
  • B. Letang
    Letang is a notable town in eastern Nepal’s Morang District, recognized as a local commercial and administrative center.
  • C. Letang
    Letang is the surname of Kris Letang, a professional ice hockey defenseman best known for his long career with the NHL’s Pittsburgh Penguins.
  • D. Nankani
    Nankani are an ethnic group of northern Ghana and southern Burkina Faso, closely related culturally and linguistically to other Gur-speaking peoples of the region.
  • E. Tebrau
    Tebrau is a suburban township and rapidly developing residential and commercial area located within Johor Bahru in the Malaysian state of Johor.
  • 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: Tembuku
Triple: [Tembuku District, hasCapital, Tembuku]
Generated description
Tembuku is a town in Bali, Indonesia, serving as the administrative center of Tembuku District in Bangli Regency.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tembuku
Target entity description: Tembuku is a town in Bali, Indonesia, serving as the administrative center of Tembuku District in Bangli Regency.
  • A. Bantumi
    Bantumi is a digital version of the traditional Mancala-style board game that was popularized on early Nokia mobile phones.
  • B. Letang
    Letang is a notable town in eastern Nepal’s Morang District, recognized as a local commercial and administrative center.
  • C. Letang
    Letang is the surname of Kris Letang, a professional ice hockey defenseman best known for his long career with the NHL’s Pittsburgh Penguins.
  • D. Nankani
    Nankani are an ethnic group of northern Ghana and southern Burkina Faso, closely related culturally and linguistically to other Gur-speaking peoples of the region.
  • E. Tebrau
    Tebrau is a suburban township and rapidly developing residential and commercial area located within Johor Bahru in the Malaysian state of Johor.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867b800881909fabf9dca994c9e7 completed April 29, 2026, 4:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0ade221081909d25033a5edc73ca completed May 19, 2026, 7:01 a.m.
NEDg Description generation batch_6a0c0f3fe0d081908b86806ec2399eca completed May 19, 2026, 7:20 a.m.
NED2 Entity disambiguation (via description) batch_6a0c0fd3f8608190879a222a697716bd completed May 19, 2026, 7:23 a.m.
Created at: April 17, 2026, 3:54 p.m.