Triple

T21815544
Position Surface form Disambiguated ID Type / Status
Subject Toabaita E538596 entity
Predicate hasNeighbouringLanguage P16383 FINISHED
Object Baelelea language
The Baelelea language is an Oceanic language spoken by the Baelelea people of Malaita in the Solomon Islands.
 E1503570 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: Baelelea language | Statement: [Toabaita, hasNeighbouringLanguage, Baelelea language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baelelea language
Context triple: [Toabaita, hasNeighbouringLanguage, Baelelea language]
  • A. Thaua language
    The Thaua language is an Indigenous Australian Aboriginal language traditionally spoken by the Thaua (a group of the Yuin people) of the south coast of New South Wales.
  • B. Kaera language
    The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
  • C. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • D. Itsari language
    The Itsari language is a Northeast Caucasian (Dargin) variety spoken in Dagestan, Russia, closely related to the Kubachi language and used by a small local community.
  • E. Saraveca language
    The Saraveca language is an extinct Arawakan language once spoken in Bolivia, known from very limited historical documentation.
  • 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: Baelelea language
Triple: [Toabaita, hasNeighbouringLanguage, Baelelea language]
Generated description
The Baelelea language is an Oceanic language spoken by the Baelelea people of Malaita in the Solomon Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baelelea language
Target entity description: The Baelelea language is an Oceanic language spoken by the Baelelea people of Malaita in the Solomon Islands.
  • A. Thaua language
    The Thaua language is an Indigenous Australian Aboriginal language traditionally spoken by the Thaua (a group of the Yuin people) of the south coast of New South Wales.
  • B. Kaera language
    The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
  • C. Damara language
    The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
  • D. Itsari language
    The Itsari language is a Northeast Caucasian (Dargin) variety spoken in Dagestan, Russia, closely related to the Kubachi language and used by a small local community.
  • E. Saraveca language
    The Saraveca language is an extinct Arawakan language once spoken in Bolivia, known from very limited historical documentation.
  • 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc99bbc8190bf074930f361af7d completed April 28, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a45dcc6348190a6abc48c63d646d7 completed May 17, 2026, 10:49 p.m.
NEDg Description generation batch_6a0a46b14e908190bcf47b81107f896c completed May 17, 2026, 10:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0a4776a5e481909bcdf12c953439d6 completed May 17, 2026, 10:55 p.m.
Created at: April 16, 2026, 6:54 p.m.