Triple

T2231914
Position Surface form Disambiguated ID Type / Status
Subject School of Engineering and Applied Science E48786 entity
Predicate shortName P43 FINISHED
Object SEAS E49930 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: SEAS | Statement: [School of Engineering and Applied Science, shortName, SEAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SEAS
Context triple: [School of Engineering and Applied Science, shortName, SEAS]
  • A. SEAS chosen
    SEAS is the acronym for Yale University's School of Engineering & Applied Science, which houses its engineering and applied science programs.
  • B. SEAS
    SEAS is an abbreviation commonly used to refer to the Seattle Aquarium, a major public aquarium and marine conservation institution located on the waterfront in Seattle, Washington.
  • C. SEA
    SEA is the three-letter IATA airport code for Seattle–Tacoma International Airport, the primary commercial airport serving the Seattle metropolitan area in Washington, USA.
  • D. SEAQ
    SEAQ (Stock Exchange Automated Quotations) was the London Stock Exchange’s electronic quote-driven trading system used primarily for smaller and less liquid securities.
  • E. Seascape
    Seascape is a Pulitzer Prize-winning play by Edward Albee that blends domestic drama with surreal encounters between humans and evolved sea creatures to explore themes of communication, evolution, and aging.
  • 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_69a88aa51b388190949868ec9766e587 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc06d26bc8190a85ddb6312d2df08 completed March 7, 2026, 6:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b001ee481909b28aea25ad7b906 completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:47 p.m.