Triple

T22933250
Position Surface form Disambiguated ID Type / Status
Subject Bungku’ E569502 entity
Predicate isRelatedTo P37 FINISHED
Object Bajo language
The Bajo language is an Austronesian language spoken by the seafaring Bajo (or Bajau) people of maritime Southeast Asia, particularly in Indonesia.
E1562363 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: Bajo language | Statement: [Bungku’, isRelatedTo, Bajo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bajo language
Context triple: [Bungku’, isRelatedTo, Bajo language]
  • A. Boruca language
    The Boruca language is an endangered indigenous Chibchan language spoken by the Boruca people of southern Costa Rica.
  • B. Pima Bajo language
    The Pima Bajo language is an indigenous Uto-Aztecan language spoken by the Pima Bajo people in northern Mexico, particularly in the states of Chihuahua and Sonora.
  • C. Tepehuán language
    The Tepehuán language is a Uto-Aztecan indigenous language of northern Mexico spoken by the Tepehuán people in several regional dialects.
  • D. Bassa language
    The Bassa language is a Bantu language spoken by the Bassa people of central Cameroon.
  • E. Bassa language
    Bassa language is a Kru language of the Niger-Congo family spoken primarily by the Bassa people in Liberia and neighboring regions.
  • 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: Bajo language
Triple: [Bungku’, isRelatedTo, Bajo language]
Generated description
The Bajo language is an Austronesian language spoken by the seafaring Bajo (or Bajau) people of maritime Southeast Asia, particularly in Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bajo language
Target entity description: The Bajo language is an Austronesian language spoken by the seafaring Bajo (or Bajau) people of maritime Southeast Asia, particularly in Indonesia.
  • A. Boruca language
    The Boruca language is an endangered indigenous Chibchan language spoken by the Boruca people of southern Costa Rica.
  • B. Pima Bajo language
    The Pima Bajo language is an indigenous Uto-Aztecan language spoken by the Pima Bajo people in northern Mexico, particularly in the states of Chihuahua and Sonora.
  • C. Tepehuán language
    The Tepehuán language is a Uto-Aztecan indigenous language of northern Mexico spoken by the Tepehuán people in several regional dialects.
  • D. Bassa language
    The Bassa language is a Bantu language spoken by the Bassa people of central Cameroon.
  • E. Bassa language
    Bassa language is a Kru language of the Niger-Congo family spoken primarily by the Bassa people in Liberia and neighboring regions.
  • 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.