Triple

T5829247
Position Surface form Disambiguated ID Type / Status
Subject Labuan Bajo E129303 entity
Predicate languageSpoken P151 FINISHED
Object Manggarai language E148729 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: Manggarai language | Statement: [Labuan Bajo, languageSpoken, Manggarai language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manggarai language
Context triple: [Labuan Bajo, languageSpoken, Manggarai language]
  • A. Manggarai language chosen
    The Manggarai language is an Austronesian language spoken primarily by the Manggarai people in western Flores, Indonesia.
  • B. Mampruli language
    Mampruli is a Gur language spoken primarily by the Mamprusi people in northern Ghana and parts of neighboring West African countries.
  • C. Majang language
    The Majang language is a Surmic language of the Nilo-Saharan family spoken by the Majangir people of southwestern Ethiopia.
  • D. Nanggu language
    The Nanggu language is an Oceanic language spoken in the Temotu Province of the Solomon Islands, known for its role in the highly diverse Temotu linguistic subgroup.
  • E. Magahi language
    Magahi language is an Eastern Indo-Aryan language spoken primarily in the Indian state of Bihar and surrounding regions, closely related to languages like Bhojpuri and Maithili.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03467dfe48190b51757b33681bc20 completed March 22, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09866fd248190b4248a993051b732 completed March 23, 2026, 1:33 a.m.
Created at: March 22, 2026, 3:54 p.m.