Triple

T20395337
Position Surface form Disambiguated ID Type / Status
Subject Hanis Coos E500187 entity
Predicate hasAutonym P1435 FINISHED
Object Hanis 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: Hanis | Statement: [Hanis Coos, hasAutonym, Hanis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanis
Context triple: [Hanis Coos, hasAutonym, Hanis]
  • A. Hanis chosen
    Hanis is a Native American people historically associated with the Coos Bay area of the southern Oregon coast in the United States.
  • B. Hanan
    Hanan is a given name most notably borne by Palestinian legislator, activist, and scholar Hanan Ashrawi.
  • C. Keffieh
    Keffieh is a politically charged artwork by Mona Hatoum that transforms the traditional Palestinian headscarf into a delicate, subversive object reflecting themes of identity, exile, and conflict.
  • D. Chana
    Chana is a Hebrew feminine given name, often associated with the biblical figure Hannah and meaning "grace" or "favor."
  • E. Altiani
    Altiani is a small rural commune in the Haute-Corse department on the island of Corsica, France.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67912d7948190ac2fda8ce95e5c70 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.