Triple

T2853675
Position Surface form Disambiguated ID Type / Status
Subject Kickapoo language E63149 entity
Predicate languageFamily P1047 FINISHED
Object Algic E254256 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: Algic | Statement: [Kickapoo language, languageFamily, Algic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Algic
Context triple: [Kickapoo language, languageFamily, Algic]
  • A. Algic chosen
    Algic is a Native North American language family that includes the Algonquian languages and a few related groups such as Wiyot and Yurok.
  • B. Galarina
    Galarina is a famous surrealist painting by Salvador Dalí depicting his muse and wife Gala in a classical, devotional style.
  • C. Ennepetal
    Ennepetal is a town in North Rhine-Westphalia, Germany, known for its industrial heritage and scenic location in the Ennepe-Ruhr district.
  • D. Alkemade
    Alkemade was a former municipality in the Dutch province of South Holland that later became part of the municipality of Kaag en Braassem.
  • E. Ulva
    Ulva is a small, sparsely populated island off the west coast of Scotland, known for its rugged landscapes, wildlife, and historic connections to the Hebrides.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf5f21348190a574fa86bc71c76f completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8e63fbc8190825317fff7538481 completed March 10, 2026, 9:48 a.m.
Created at: March 6, 2026, 10:02 p.m.