Triple

T13464274
Position Surface form Disambiguated ID Type / Status
Subject Makassarese E311454 entity
Predicate relatedEthnicGroup P1969 FINISHED
Object Mandar E311455 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 | Statement: [Makassarese, relatedEthnicGroup, Mandar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandar
Context triple: [Makassarese, relatedEthnicGroup, Mandar]
  • A. Mandar chosen
    Mandar are an indigenous ethnic group of South Sulawesi in Indonesia, known for their seafaring traditions, distinctive language, and rich maritime culture.
  • B. Manda
    Manda is a lesser-known Dravidian language spoken by tribal communities in parts of eastern India, particularly in Odisha.
  • C. Mandegusu
    Mandegusu is an alternate name for Simbo, an island in the Western Province of the Solomon Islands in the South Pacific.
  • D. Mangin
    Mangin is a French surname borne by various notable figures, including military leaders, politicians, and artists.
  • E. Misharu
    Misharu is a Mesopotamian deity associated with justice and righteousness, traditionally regarded as a child of the sun god Shamash.
  • 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_69f739a439548190bc78eef3b03da8b1 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:41 p.m.