Triple

T9756738
Position Surface form Disambiguated ID Type / Status
Subject Columbia Heights, Minnesota E236571 entity
Predicate namedFor P63 FINISHED
Object Columbia
Columbia is a historic poetic name for the United States, often used as a national personification in literature, art, and place names.
E116697 NE FINISHED

How this triple was built (4 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: [Columbia Heights, Minnesota, namedFor, Columbia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Columbia
Context triple: [Columbia Heights, Minnesota, namedFor, 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
    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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Columbia
Triple: [Columbia Heights, Minnesota, namedFor, Columbia]
Generated description
Columbia is a historic poetic name for the United States, often used as a national personification in literature, art, and place names.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Columbia
Target entity description: Columbia is a historic poetic name for the United States, often used as a national personification in literature, art, and place names.
  • A. Columbia chosen
    Columbia is a historical and poetic personification of the United States, often used as a national symbol in literature, art, and place names.
  • B. Columbia
    Columbia is a fictional sentient spaceship, also known as Nuna, featured in science fiction storytelling.
  • C. Columbia
    Columbia was the former name of the John F. Kennedy/University of Massachusetts Boston subway station on Boston’s MBTA Red Line.
  • D. Columbia
    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.
  • E. Columbia
    Columbia is a large planned community in central Maryland known for its suburban neighborhoods, extensive green spaces, and mixed-use town centers.
  • F. None of above.

Provenance (5 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9fb2889481908fba4a449d5007fe completed April 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcdbdbcc8190b2c454729a50f7fb completed April 5, 2026, 1:37 a.m.
NEDg Description generation batch_69d1be0b960c8190a3c24c8c80cfbe9d completed April 5, 2026, 1:42 a.m.
NED2 Entity disambiguation (via description) batch_69d1bec20dec8190be32069ddf94b915 completed April 5, 2026, 1:45 a.m.
Created at: March 30, 2026, 8:24 p.m.