Triple

T12827463
Position Surface form Disambiguated ID Type / Status
Subject Central Bube E306691 entity
Predicate hasAlternativeName P39 FINISHED
Object Central Bubí
Central Bubí is a Bantu language spoken by the Bubi people of Bioko Island in Equatorial Guinea.
E1006705 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: Central Bubí | Statement: [Central Bube, hasAlternativeName, Central Bubí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Bubí
Context triple: [Central Bube, hasAlternativeName, Central Bubí]
  • A. Bobrůvka
    Bobrůvka is a river in the Czech Republic that flows through the Vysočina and South Moravian regions before joining the Svratka River.
  • B. Zbyhněv
    Zbyhněv is a given name, likely a variant or regional form of the Slavic name Zbigniew.
  • C. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • D. Břevnov
    Břevnov is a historic district in western Prague known for the Břevnov Monastery, one of the oldest Benedictine monasteries in the Czech Republic.
  • E. Nebušice
    Nebušice is a residential district on the northwestern edge of Prague, known for its green surroundings and proximity to the international school community.
  • 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: Central Bubí
Triple: [Central Bube, hasAlternativeName, Central Bubí]
Generated description
Central Bubí is a Bantu language spoken by the Bubi people of Bioko Island in Equatorial Guinea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Central Bubí
Target entity description: Central Bubí is a Bantu language spoken by the Bubi people of Bioko Island in Equatorial Guinea.
  • A. Bobrůvka
    Bobrůvka is a river in the Czech Republic that flows through the Vysočina and South Moravian regions before joining the Svratka River.
  • B. Zbyhněv
    Zbyhněv is a given name, likely a variant or regional form of the Slavic name Zbigniew.
  • C. Vávrová
    Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
  • D. Břevnov
    Břevnov is a historic district in western Prague known for the Břevnov Monastery, one of the oldest Benedictine monasteries in the Czech Republic.
  • E. Nebušice
    Nebušice is a residential district on the northwestern edge of Prague, known for its green surroundings and proximity to the international school community.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96fae51608190a50970bd038359a5 completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b99d9bc8190b67f73985c8f6768 completed May 3, 2026, 12:49 a.m.
NEDg Description generation batch_69f69d48e6948190a13afe3b8943d877 completed May 3, 2026, 12:56 a.m.
NED2 Entity disambiguation (via description) batch_69f69dfa2b8481908827025a28bfb056 completed May 3, 2026, 12:59 a.m.
Created at: April 9, 2026, 5:33 p.m.