Triple

T9856142
Position Surface form Disambiguated ID Type / Status
Subject Seattle Aquarium E239590 entity
Predicate alsoKnownAs P39 FINISHED
Object SEAS E239590 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: [Seattle Aquarium, alsoKnownAs, SEAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SEAS
Context triple: [Seattle Aquarium, alsoKnownAs, SEAS]
  • A. SEAS
    SEAS is the University of Pennsylvania’s engineering and applied science school, offering undergraduate and graduate programs in fields such as computer science, bioengineering, and mechanical engineering.
  • B. SEAS
    SEAS is the acronym for Yale University's School of Engineering & Applied Science, which houses its engineering and applied science programs.
  • C. SEAS chosen
    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.
  • D. SEAS
    SEAS is the stock ticker symbol for SeaWorld Entertainment, Inc., a U.S.-based company that operates marine-life theme parks and entertainment attractions.
  • E. SEAS
    SEAS is the abbreviation for the Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University's engineering and applied sciences school.
  • 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb39719288190adf45e7c029edd51 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e4349a50819084ee1fcd067a082b completed April 5, 2026, 4:25 a.m.
Created at: March 30, 2026, 8:35 p.m.