Triple

T13464333
Position Surface form Disambiguated ID Type / Status
Subject Mandar E311455 entity
Predicate bilingualIn P19530 FINISHED
Object Mandar language E152161 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: Mandar language | Statement: [Mandar, bilingualIn, Mandar language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandar language
Context triple: [Mandar, bilingualIn, Mandar language]
  • A. Mandar language chosen
    Mandar is an Austronesian language spoken primarily by the Mandar people along the western coast of Sulawesi in Indonesia.
  • B. Manda language
    The Manda language is a South-Central Dravidian language spoken by the Manda people in parts of eastern India, known for its endangered status and limited number of speakers.
  • C. Mandeali language
    Mandeali language is an Indo-Aryan language spoken primarily in the Mandi region of Himachal Pradesh, India.
  • D. Madura language
    The Madura language is an Austronesian language spoken primarily on Madura Island and in parts of East Java, Indonesia, by the Madurese people.
  • E. Mankanya language
    The Mankanya language is an Atlantic language of the Niger-Congo family spoken primarily in parts of Guinea-Bissau, Senegal, and The Gambia by the Mankanya people.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0f1830819085700b4521e44678 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f746282318819090e47c324807dc1e completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:41 p.m.