Triple

T21938172
Position Surface form Disambiguated ID Type / Status
Subject Lont E541747 entity
Predicate scriptUsageLanguage P56657 FINISHED
Object Toraja language NE NERFINISHED

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: Toraja language | Statement: [Lont, scriptUsageLanguage, Toraja language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toraja language
Context triple: [Lont, scriptUsageLanguage, Toraja language]
  • A. Toraja languages
    The Toraja languages are a group of closely related Austronesian languages spoken primarily by the Toraja people in the highland regions of South Sulawesi, Indonesia.
  • B. Toraja-Saʼdan language chosen
    The Toraja-Saʼdan language is an Austronesian language spoken primarily by the Toraja people in the highland regions of South Sulawesi, Indonesia.
  • C. Talaud language
    The Talaud language is an Austronesian language spoken by the indigenous population of the Talaud Islands in North Sulawesi, Indonesia.
  • D. Tagakaulo language
    Tagakaulo language is an Austronesian language spoken by the Tagakaulo people of Mindanao in the southern Philippines.
  • E. Serawai language
    The Serawai language is an Austronesian language spoken by the Serawai ethnic group in parts of Bengkulu Province on the island of Sumatra, Indonesia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1241e35bc81909eb3225d5cd97b92 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:55 p.m.