Triple

T22932831
Position Surface form Disambiguated ID Type / Status
Subject Behoa language E569486 entity
Predicate hasAlternativeName P39 FINISHED
Object Behoa
Behoa is an Austronesian language spoken by an indigenous community in Central Sulawesi, Indonesia.
E1562343 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: Behoa | Statement: [Behoa language, hasAlternativeName, Behoa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Behoa
Context triple: [Behoa language, hasAlternativeName, Behoa]
  • A. Bulebel
    Bulebel is an industrial and residential area forming part of the town of Żejtun in Malta.
  • B. Kouroussa
    Kouroussa is a town in eastern Guinea known as a regional trading center and river port on the Niger River.
  • C. Lebu
    Lebu is a coastal Chilean city that serves as an administrative and fishing center in the Biobío Region.
  • D. Dondo
    Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • E. Dondo
    Dondo is a town and district in central Mozambique known as an important railway and industrial hub near the port city of Beira in Sofala Province.
  • 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: Behoa
Triple: [Behoa language, hasAlternativeName, Behoa]
Generated description
Behoa is an Austronesian language spoken by an indigenous community in Central Sulawesi, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Behoa
Target entity description: Behoa is an Austronesian language spoken by an indigenous community in Central Sulawesi, Indonesia.
  • A. Bulebel
    Bulebel is an industrial and residential area forming part of the town of Żejtun in Malta.
  • B. Kouroussa
    Kouroussa is a town in eastern Guinea known as a regional trading center and river port on the Niger River.
  • C. Lebu
    Lebu is a coastal Chilean city that serves as an administrative and fishing center in the Biobío Region.
  • D. Dondo
    Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • E. Dondo
    Dondo is a town and district in central Mozambique known as an important railway and industrial hub near the port city of Beira in Sofala Province.
  • 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_6a0bc24ea8bc8190bb7cb6e9475d6641 completed May 19, 2026, 1:52 a.m.
NEDg Description generation batch_6a0bc3dea31c8190ab517e43c9061eec completed May 19, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0bc46fd3d0819094a532a8d6a0b9b2 completed May 19, 2026, 2:01 a.m.
Created at: April 17, 2026, 3:44 p.m.