Triple

T993946
Position Surface form Disambiguated ID Type / Status
Subject Council of Trent E21452 entity
Predicate location P40 FINISHED
Object Trent E16617 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: Trent | Statement: [Council of Trent, location, Trent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trent
Context triple: [Council of Trent, location, Trent]
  • A. Trent chosen
    The Trent is one of the principal rivers in England, flowing through the Midlands and joining the Humber estuary before reaching the North Sea.
  • B. Three Rivers
    Three Rivers was an Amtrak long-distance passenger train that operated between New York City and Chicago via Pittsburgh.
  • C. Columbia
    Columbia is a historic Gold Rush-era town in Tuolumne County, California, preserved today as a state historic park and tourist destination.
  • D. Columbia
    Columbia is an outdoor apparel and footwear brand known for its durable, weather-resistant gear for activities like hiking, skiing, and camping.
  • E. Columbia
    Columbia is a historical and poetic personification of the United States, often used as a national symbol in literature, art, and place names.
  • 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4c5e16881908cd5f7ba2fcd5084 completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2a18db488190bf7d604fe6a33b9e completed March 7, 2026, 1:37 p.m.
Created at: March 1, 2026, 7:41 p.m.