Triple

T13663636
Position Surface form Disambiguated ID Type / Status
Subject arp E327058 entity
Predicate alternateName P39 FINISHED
Object Arapahoe E909726 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: Arapahoe | Statement: [arp, alternateName, Arapahoe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arapahoe
Context triple: [arp, alternateName, Arapahoe]
  • A. Arapahoe, Colorado chosen
    Arapahoe, Colorado is a small unincorporated community located on the Eastern Plains of Colorado.
  • B. Pitkin
    Pitkin is a surname of English origin borne by various notable individuals across fields such as academia, politics, and the arts.
  • C. Larimer
    Larimer is a residential neighborhood in the East End of Pittsburgh, Pennsylvania, historically known as an Italian-American enclave and later for community revitalization efforts.
  • D. Del Norte, Colorado
    Del Norte, Colorado is a small historic town in south-central Colorado that serves as a gateway to the San Juan Mountains and the Rio Grande National Forest.
  • E. Gilpin
    Gilpin is a surname most notably associated with American actress Peri Gilpin, known for her role as Roz Doyle on the television series "Frasier."
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc622a07c81909ef7fb55e719dd9a completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b0ac4c88190ab6f753c6847eb6e completed May 3, 2026, 5:51 p.m.
Created at: April 9, 2026, 9:52 p.m.