Triple

T11238087
Position Surface form Disambiguated ID Type / Status
Subject Latrobe E265995 entity
Predicate hasEponym P12247 FINISHED
Object Latrobe City E354313 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: Latrobe City | Statement: [Latrobe, hasEponym, Latrobe City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Latrobe City
Context triple: [Latrobe, hasEponym, Latrobe City]
  • A. Latrobe chosen
    Latrobe is a small city in Westmoreland County, Pennsylvania, known as the hometown of golfer Arnold Palmer and the birthplace of the banana split.
  • B. Latrobe
    Latrobe is a surname most notably associated with Benjamin Henry Latrobe, a pioneering British-American architect often called the “father of American architecture.”
  • C. Mahoningtown
    Mahoningtown is a neighborhood and former independent community now incorporated into the city of New Castle in western Pennsylvania.
  • D. Knittelfeld
    Knittelfeld is a small town in the Austrian state of Styria known for its industrial heritage and proximity to the Red Bull Ring motor racing circuit.
  • E. Hillman City
    Hillman City is a small, historically diverse residential neighborhood in southeast Seattle known for its community-focused character and proximity to the Rainier Valley’s main transit and commercial corridors.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e918375081908c2a7ccb50cbf331 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad6e9390819085d10635cb039f85 completed April 19, 2026, 10:24 a.m.
Created at: April 8, 2026, 9:30 p.m.