Triple

T6684108
Position Surface form Disambiguated ID Type / Status
Subject Tanimbar languages E152057 entity
Predicate hasMember P10 FINISHED
Object Larat language
The Larat language is an Austronesian language spoken on Larat Island in Indonesia’s Tanimbar archipelago.
 E612109 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: Larat language | Statement: [Tanimbar languages, hasMember, Larat language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Larat language
Context triple: [Tanimbar languages, hasMember, Larat language]
  • A. Lakalai language
    The Lakalai language is an Austronesian language spoken by the Lakalai people of New Britain in Papua New Guinea.
  • B. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • C. Lhaq’temish language
    The Lhaq’temish language is a Coast Salish language traditionally spoken by the Lummi people of the Pacific Northwest Coast in what is now Washington State.
  • D. Rarámuri language
    The Rarámuri language is an indigenous Uto-Aztecan language spoken by the Tarahumara (Rarámuri) people of northern Mexico.
  • E. Opata language
    The Opata language is an extinct Uto-Aztecan language once spoken by the Opata people of northern Mexico, particularly in the present-day state of Sonora.
  • 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: Larat language
Triple: [Tanimbar languages, hasMember, Larat language]
Generated description
The Larat language is an Austronesian language spoken on Larat Island in Indonesia’s Tanimbar archipelago.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Larat language
Target entity description: The Larat language is an Austronesian language spoken on Larat Island in Indonesia’s Tanimbar archipelago.
  • A. Lakalai language
    The Lakalai language is an Austronesian language spoken by the Lakalai people of New Britain in Papua New Guinea.
  • B. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • C. Lhaq’temish language
    The Lhaq’temish language is a Coast Salish language traditionally spoken by the Lummi people of the Pacific Northwest Coast in what is now Washington State.
  • D. Rarámuri language
    The Rarámuri language is an indigenous Uto-Aztecan language spoken by the Tarahumara (Rarámuri) people of northern Mexico.
  • E. Opata language
    The Opata language is an extinct Uto-Aztecan language once spoken by the Opata people of northern Mexico, particularly in the present-day state of Sonora.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b122df14819082068af37611b691 completed March 27, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7ae8f388190a3c78c89b7293804 completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f9f7b4b08190b5c4dab67758af67 completed March 27, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_69c6fac7c0e881909b4c2058beebda9f completed March 27, 2026, 9:46 p.m.
Created at: March 27, 2026, 2:04 p.m.