Triple

T2617995
Position Surface form Disambiguated ID Type / Status
Subject Third System of US seacoast defense E58935 entity
Predicate hasPart P35 FINISHED
Object Fort Morgan E115467 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: Fort Morgan | Statement: [Third System of US seacoast defense, hasPart, Fort Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort Morgan
Context triple: [Third System of US seacoast defense, hasPart, Fort Morgan]
  • A. Fort Morgan chosen
    Fort Morgan is a historic 19th-century masonry fort on Mobile Bay in Alabama, best known for its role in the American Civil War, particularly the Battle of Mobile Bay.
  • B. Fort Morgan, Colorado
    Fort Morgan, Colorado is a small agricultural and industrial city on the Eastern Plains of Colorado that serves as a regional hub for farming, livestock, and transportation.
  • C. Columbia City
    Columbia City is a historic, culturally diverse neighborhood in southeast Seattle known for its vibrant business district, arts scene, and early 20th-century architecture.
  • D. Littleton
    Littleton is a suburban town in Middlesex County, Massachusetts, located northwest of Boston.
  • E. Littleton
    Littleton is a village in Surrey, England, known for its proximity to Shepperton and its largely residential, semi-rural character.
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd894b29c81909c7f78c6c3cc7f89 completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce7ea0608190af4ef9655c612fbb completed March 10, 2026, 7:55 a.m.
Created at: March 6, 2026, 9:50 p.m.