Triple

T8112388
Position Surface form Disambiguated ID Type / Status
Subject Wells College E189385 entity
Predicate hasAthleticsNickname P55 FINISHED
Object Express E593721 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: Express | Statement: [Wells College, hasAthleticsNickname, Express]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Express
Context triple: [Wells College, hasAthleticsNickname, Express]
  • A. Express
    "Express" is a popular song from the film and stage musical "Burlesque," known for its sultry style and association with Christina Aguilera’s performance.
  • B. Express
    Express is an American fashion retailer known for its trendy, youth-oriented apparel and accessories sold through mall-based stores and online.
  • C. Express
    Express is a minimalist and flexible web application framework for Node.js, widely used for building APIs and server-side applications.
  • D. Express chosen
    Express is the nickname of the Windsor Express, a professional basketball team based in Windsor, Ontario, Canada.
  • E. Express Yourself
    "Express Yourself" is a politically charged hip-hop track by N.W.A that critiques censorship and social injustice while encouraging artistic freedom.
  • 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb432d7dfc8190b9c980f32c7b4623 completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9433a5848190aac09a2589061b53 completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:32 p.m.