Triple

T17248631
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Kiama E418691 entity
Predicate hasLocality P7943 FINISHED
Object Bombo
Bombo is a coastal locality in New South Wales, Australia, known for its dramatic basalt cliffs and beaches near the town of Kiama.
E1258625 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: Bombo | Statement: [Municipality of Kiama, hasLocality, Bombo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bombo
Context triple: [Municipality of Kiama, hasLocality, Bombo]
  • A. Bombo
    Bombo is a 1934 American comedy film starring the British music hall duo Flanagan and Allen, known for its lighthearted musical numbers and slapstick humor.
  • B. Bomba
    Bomba is a traditional Afro-Puerto Rican musical and dance genre characterized by call-and-response singing, barrel drums, and improvisational interaction between dancers and drummers.
  • C. La Bomba
    La Bomba is the famous nickname of Spanish basketball legend Juan Carlos Navarro, renowned for his explosive scoring and clutch shooting.
  • D. Bombon
    Bombon is a municipality, likely in the Philippines, known as the namesake and administrative area associated with the Bombon dialect.
  • E. Bombe
    The Bombe was an electromechanical device developed by Allied cryptanalysts during World War II to help decipher encrypted German messages, particularly those encoded by the Enigma machine.
  • 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: Bombo
Triple: [Municipality of Kiama, hasLocality, Bombo]
Generated description
Bombo is a coastal locality in New South Wales, Australia, known for its dramatic basalt cliffs and beaches near the town of Kiama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bombo
Target entity description: Bombo is a coastal locality in New South Wales, Australia, known for its dramatic basalt cliffs and beaches near the town of Kiama.
  • A. Bombo
    Bombo is a 1934 American comedy film starring the British music hall duo Flanagan and Allen, known for its lighthearted musical numbers and slapstick humor.
  • B. Bomba
    Bomba is a traditional Afro-Puerto Rican musical and dance genre characterized by call-and-response singing, barrel drums, and improvisational interaction between dancers and drummers.
  • C. La Bomba
    La Bomba is the famous nickname of Spanish basketball legend Juan Carlos Navarro, renowned for his explosive scoring and clutch shooting.
  • D. Bombon
    Bombon is a municipality, likely in the Philippines, known as the namesake and administrative area associated with the Bombon dialect.
  • E. Bombe
    The Bombe was an electromechanical device developed by Allied cryptanalysts during World War II to help decipher encrypted German messages, particularly those encoded by the Enigma machine.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e2569c081908ffd3ee9c76bcc17 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f96e548190be92846e072118f9 completed May 11, 2026, 6:02 a.m.
NEDg Description generation batch_6a01717495208190b415219d15e71fb7 completed May 11, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_6a01721f5b9081909a8bc817ba0a5986 completed May 11, 2026, 6:07 a.m.
Created at: April 10, 2026, 5:39 a.m.