Triple

T8697441
Position Surface form Disambiguated ID Type / Status
Subject Benedict College E206435 entity
Predicate city P40 FINISHED
Object Columbia E258546 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: Columbia | Statement: [Benedict College, city, Columbia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Columbia
Context triple: [Benedict College, city, Columbia]
  • A. Columbia
    Columbia is a small unincorporated community located in the state of Iowa in the United States.
  • B. Columbia
    Columbia was the former name of the John F. Kennedy/University of Massachusetts Boston subway station on Boston’s MBTA Red Line.
  • C. Columbia
    Columbia is an outdoor apparel and footwear brand known for its durable, weather-resistant gear for activities like hiking, skiing, and camping.
  • D. Columbia
    Columbia was NASA’s first operational Space Shuttle orbiter, notable for pioneering reusable spacecraft missions and tragically being lost in the 2003 reentry disaster.
  • E. Columbia chosen
    Columbia is a mid-sized city in central Missouri known as a major college town and cultural hub, home to the University of Missouri and several other educational institutions.
  • 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_69ca83555b6c8190abe930dd397e863b completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc582b04688190a439135b08e20451 completed March 31, 2026, 11:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf4287aa048190ba0263623d02b2ef completed April 3, 2026, 4:31 a.m.
Created at: March 30, 2026, 6:34 p.m.