Triple

T9577373
Position Surface form Disambiguated ID Type / Status
Subject Kemak language E231077 entity
Predicate hasLexicalSimilarityWith P11829 FINISHED
Object Tokodede language E231078 NE FINISHED

How this triple was built (2 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: Tokodede language | Statement: [Kemak language, hasLexicalSimilarityWith, Tokodede language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokodede language
Context triple: [Kemak language, hasLexicalSimilarityWith, Tokodede language]
  • A. Tokodede language chosen
    Tokodede is an Austronesian language spoken primarily in the Liquiçá region of northwestern East Timor.
  • B. Tawbuid language
    The Tawbuid language is an Austronesian language spoken by the Tawbuid (Batangan) Mangyan people of Mindoro in the Philippines, closely related to other South Mangyan languages.
  • C. Daakaka language
    The Daakaka language is an Oceanic language spoken by communities on Ambrym Island in Vanuatu.
  • D. Tanema language
    Tanema is a nearly extinct Oceanic language once spoken on Vanikoro Island in the Temotu Province of the Solomon Islands.
  • E. Touo language
    Touo is an Oceanic language spoken by a small community in the Solomon Islands, noted for its distinct phonology and limited number of speakers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99ad7d108190a0b8c975351ea727 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d17907de488190be97e58b05b6c6f2 completed April 4, 2026, 8:48 p.m.
Created at: March 30, 2026, 8:05 p.m.