Triple

T11719507
Position Surface form Disambiguated ID Type / Status
Subject Bungee (Bungi) E278588 entity
Predicate alternativeName P39 FINISHED
Object Bungi
Bungi is a dialect of English historically spoken in parts of Canada, influenced by Indigenous and European languages.
 E942809 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: Bungi | Statement: [Bungee (Bungi), alternativeName, Bungi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bungi
Context triple: [Bungee (Bungi), alternativeName, Bungi]
  • A. Buzen
    Buzen is a small coastal city in eastern Fukuoka Prefecture on Japan’s Kyushu island, known for its rural character and scenic seaside setting.
  • B. Kutama
    Kutama is a rural village in the Zvimba District of northern Zimbabwe, known primarily as the birthplace of former president Robert Mugabe.
  • C. Gangra
    Gangra is an ancient city in Paphlagonia, in what is now north-central Turkey, historically significant as a regional administrative and ecclesiastical center.
  • D. Gugino
    Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
  • E. Bungoono
    Bungoono is a city located in southern Ōita Prefecture on Japan’s Kyushu island, known for its rural landscapes, hot springs, and historic stone Buddhas.
  • 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: Bungi
Triple: [Bungee (Bungi), alternativeName, Bungi]
Generated description
Bungi is a dialect of English historically spoken in parts of Canada, influenced by Indigenous and European languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bungi
Target entity description: Bungi is a dialect of English historically spoken in parts of Canada, influenced by Indigenous and European languages.
  • A. Buzen
    Buzen is a small coastal city in eastern Fukuoka Prefecture on Japan’s Kyushu island, known for its rural character and scenic seaside setting.
  • B. Kutama
    Kutama is a rural village in the Zvimba District of northern Zimbabwe, known primarily as the birthplace of former president Robert Mugabe.
  • C. Gangra
    Gangra is an ancient city in Paphlagonia, in what is now north-central Turkey, historically significant as a regional administrative and ecclesiastical center.
  • D. Gugino
    Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
  • E. Bungoono
    Bungoono is a city located in southern Ōita Prefecture on Japan’s Kyushu island, known for its rural landscapes, hot springs, and historic stone Buddhas.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4c26e4c8190ae30d906b4fd4221 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83b9131c819085f7bcab902c3763 completed April 27, 2026, 3:41 p.m.
NEDg Description generation batch_69ef96b13be881908102ffa867f96c22 completed April 27, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69efb51113708190998b570c33b9d0e7 completed April 27, 2026, 7:12 p.m.
Created at: April 8, 2026, 9:40 p.m.