Triple

T392711
Position Surface form Disambiguated ID Type / Status
Subject Yale School of Engineering & Applied Science E8914 entity
Predicate abbreviation P43 FINISHED
Object SEAS
SEAS is the acronym for Yale University's School of Engineering & Applied Science, which houses its engineering and applied science programs.
 E49930 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: SEAS | Statement: [Yale School of Engineering & Applied Science, abbreviation, SEAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SEAS
Context triple: [Yale School of Engineering & Applied Science, abbreviation, SEAS]
  • A. SE
    SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
  • B. Java Sea
    The Java Sea is a shallow, tropical marginal sea in Indonesia, lying between the islands of Java and Borneo and known for its busy shipping routes and rich marine biodiversity.
  • C. Bluewater
    Bluewater is a large out-of-town shopping and leisure centre located in Kent, England.
  • D. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • E. SEK
    SEK is the official currency code for the Swedish krona, the national currency of Sweden.
  • 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: SEAS
Triple: [Yale School of Engineering & Applied Science, abbreviation, SEAS]
Generated description
SEAS is the acronym for Yale University's School of Engineering & Applied Science, which houses its engineering and applied science programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SEAS
Target entity description: SEAS is the acronym for Yale University's School of Engineering & Applied Science, which houses its engineering and applied science programs.
  • A. SE
    SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
  • B. Java Sea
    The Java Sea is a shallow, tropical marginal sea in Indonesia, lying between the islands of Java and Borneo and known for its busy shipping routes and rich marine biodiversity.
  • C. Bluewater
    Bluewater is a large out-of-town shopping and leisure centre located in Kent, England.
  • D. SU
    SU was the two-letter country code used to represent the former Soviet Union in various international standards and systems.
  • E. SEK
    SEK is the official currency code for the Swedish krona, the national currency of Sweden.
  • F. None of above. chosen

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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec7637c08190b695ec640edbf6c2 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a405f74cd08190a2e165506638607c completed March 1, 2026, 9:25 a.m.
NEDg Description generation batch_69a406a17fdc8190a067217b806fbc57 completed March 1, 2026, 9:28 a.m.
NED2 Entity disambiguation (via description) batch_69a4070050dc81909fdfbcfce23e428e completed March 1, 2026, 9:29 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.