Triple

T11620731
Position Surface form Disambiguated ID Type / Status
Subject Shinnecock language E275628 entity
Predicate languageBranch P1967 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: [Shinnecock language, languageBranch, Algic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Algic
Context triple: [Shinnecock language, languageBranch, 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. Algea
    Algea are personified spirits of pain and suffering in Greek mythology, associated with the goddess Eris and the darker aspects of human experience.
  • C. Sargas
    Sargas is a bright giant star in the constellation Scorpius, notable for its luminosity and relatively close distance to Earth.
  • D. Goodea
    Goodea is a genus of small freshwater fishes native to Mexico, commonly known as goodeids and noted for their livebearing reproduction.
  • E. Calisia
    Calisia is the Latin name historically associated with the Polish city of Kalisz, often cited as one of the oldest documented settlements in Poland.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a1206f1c81908d92024ef71958c0 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee874fe11c81908b9d3a996bcc51d2 completed April 26, 2026, 9:44 p.m.
Created at: April 8, 2026, 9:39 p.m.