Triple

T22932834
Position Surface form Disambiguated ID Type / Status
Subject Behoa language E569486 entity
Predicate hasAlternativeName P39 FINISHED
Object Badaic Behoa
Badaic Behoa is an Austronesian language spoken by the Behoa people in Central Sulawesi, Indonesia.
E1564060 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: Badaic Behoa | Statement: [Behoa language, hasAlternativeName, Badaic Behoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Badaic Behoa
Context triple: [Behoa language, hasAlternativeName, Badaic Behoa]
  • A. Badohou
    Badohou is an alternative name for King Glele, a 19th-century ruler of the Kingdom of Dahomey in present-day Benin.
  • B. Ita Baale
    Ita Baale is a locality within Abeokuta North in Ogun State, southwestern Nigeria.
  • C. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • D. Borama
    Borama is a city in northwestern Somalia’s Awdal region, known as a cultural and educational center for the Somali people.
  • E. Talibon
    Talibon is a coastal municipality in the northern part of Bohol in the Philippines, known for its rich marine resources and fishing industry.
  • 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: Badaic Behoa
Triple: [Behoa language, hasAlternativeName, Badaic Behoa]
Generated description
Badaic Behoa is an Austronesian language spoken by the Behoa people in Central Sulawesi, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Badaic Behoa
Target entity description: Badaic Behoa is an Austronesian language spoken by the Behoa people in Central Sulawesi, Indonesia.
  • A. Badohou
    Badohou is an alternative name for King Glele, a 19th-century ruler of the Kingdom of Dahomey in present-day Benin.
  • B. Ita Baale
    Ita Baale is a locality within Abeokuta North in Ogun State, southwestern Nigeria.
  • C. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • D. Borama
    Borama is a city in northwestern Somalia’s Awdal region, known as a cultural and educational center for the Somali people.
  • E. Talibon
    Talibon is a coastal municipality in the northern part of Bohol in the Philippines, known for its rich marine resources and fishing industry.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181337ff881909d90cf3f5bae7516 completed April 29, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bca1027948190be094e0625b92b2e completed May 19, 2026, 2:25 a.m.
NEDg Description generation batch_6a0bcde52c1c81908a2202b6514536a4 completed May 19, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0bce4a1b448190a06944433ded563f completed May 19, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:44 p.m.