Triple

T20569601
Position Surface form Disambiguated ID Type / Status
Subject Mapuche territory E505056 entity
Predicate hasAlternativeName P39 FINISHED
Object Wallmapu 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: Wallmapu | Statement: [Mapuche territory, hasAlternativeName, Wallmapu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wallmapu
Context triple: [Mapuche territory, hasAlternativeName, Wallmapu]
  • A. Wallmapu chosen
    Wallmapu is the ancestral homeland of the Mapuche people, encompassing their traditional territories across parts of present-day Chile and Argentina.
  • B. Mapah
    Mapah is Rabbi Moses Isserles’s glosses on the Shulchan Aruch, integrating Ashkenazi customs and rulings into that foundational Jewish legal code.
  • C. Mapusaga
    Mapusaga is a locality within the Pago Pago urban area in American Samoa, known primarily as a residential and community center on Tutuila Island.
  • D. Mapumai
    Mapumai is a small village settlement on the island of Atiu in the Cook Islands.
  • E. Mapunapuna
    Mapunapuna is an industrial and commercial neighborhood in Honolulu, Hawaii, known for its warehouses, businesses, and proximity to the Honolulu International Airport.
  • 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_69e0b4b721588190993ac7b0a9be2736 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a4b90c81909854dac72f671eec completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.