Triple

T21179484
Position Surface form Disambiguated ID Type / Status
Subject North Kuta District E521906 entity
Predicate contains P35 FINISHED
Object Tibubeneng
Tibubeneng is a village in Bali, Indonesia, known for its rapidly developing tourism areas and proximity to popular beaches near Canggu.
E1470458 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: Tibubeneng | Statement: [North Kuta District, contains, Tibubeneng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tibubeneng
Context triple: [North Kuta District, contains, Tibubeneng]
  • A. Tibni
    Tibni was a short-lived rival claimant to the throne of the northern Kingdom of Israel in the Hebrew Bible, who contested kingship against Omri.
  • B. Tibú
    Tibú is a Colombian town and municipality in the Norte de Santander Department, located near the border with Venezuela and known for its role in the oil industry and regional conflict dynamics.
  • C. Bengan
    Bengan is a Swedish diminutive or nickname commonly used for the male given name Bengt.
  • D. Tumbili
    Tumbili is a 4D free-spin roller coaster at Kings Dominion known for its rotating seats and unpredictable flipping ride experience.
  • E. Beitunia
    Beitunia is a Palestinian town located near Ramallah in the central West Bank.
  • 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: Tibubeneng
Triple: [North Kuta District, contains, Tibubeneng]
Generated description
Tibubeneng is a village in Bali, Indonesia, known for its rapidly developing tourism areas and proximity to popular beaches near Canggu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tibubeneng
Target entity description: Tibubeneng is a village in Bali, Indonesia, known for its rapidly developing tourism areas and proximity to popular beaches near Canggu.
  • A. Tibni
    Tibni was a short-lived rival claimant to the throne of the northern Kingdom of Israel in the Hebrew Bible, who contested kingship against Omri.
  • B. Tibú
    Tibú is a Colombian town and municipality in the Norte de Santander Department, located near the border with Venezuela and known for its role in the oil industry and regional conflict dynamics.
  • C. Bengan
    Bengan is a Swedish diminutive or nickname commonly used for the male given name Bengt.
  • D. Tumbili
    Tumbili is a 4D free-spin roller coaster at Kings Dominion known for its rotating seats and unpredictable flipping ride experience.
  • E. Beitunia
    Beitunia is a Palestinian town located near Ramallah in the central West Bank.
  • 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301c842c8190b969a8b3f194003a completed April 21, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09757967588190bb6c8c940fe8d0de completed May 17, 2026, 7:59 a.m.
NEDg Description generation batch_6a09764338fc8190be908a6fa9457d18 completed May 17, 2026, 8:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0978016f188190b8e2d2c7b1b01977 completed May 17, 2026, 8:10 a.m.
Created at: April 16, 2026, 3:01 p.m.