Triple

T22977569
Position Surface form Disambiguated ID Type / Status
Subject Alma Coin E571367 entity
Predicate givenName P17 FINISHED
Object Alma 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: Alma | Statement: [Alma Coin, givenName, Alma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alma
Context triple: [Alma Coin, givenName, Alma]
  • A. Alma
    Alma is a historic wooden scow schooner preserved as a museum ship in San Francisco, representing the city’s 19th- and early 20th-century maritime commerce.
  • B. Alma
    Alma is a historic British Army battle honour commemorating the Battle of the Alma in the Crimean War.
  • C. Alma chosen
    Alma is a feminine given name of Latin origin meaning "nourishing" or "kind," used in various cultures around the world.
  • D. Alma
    Alma is a small industrial and service city in Quebec, Canada, located in the Saguenay–Lac-Saint-Jean region and known for its aluminum production and proximity to Lac Saint-Jean.
  • E. Alma
    Alma is a small rural community located in Pictou County in the Canadian province of Nova Scotia.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18292f3788190ab4e9d559e0070c8 completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:48 p.m.