Triple

T1975747
Position Surface form Disambiguated ID Type / Status
Subject SETS E42906 entity
Predicate relatedTo P37 FINISHED
Object 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.
E223470 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: SEAQ | Statement: [SETS, relatedTo, SEAQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SEAQ
Context triple: [SETS, relatedTo, SEAQ]
  • A. 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.
  • B. SEAS
    SEAS is the acronym for Yale University's School of Engineering & Applied Science, which houses its engineering and applied science programs.
  • C. SavU Sea
    The Savu Sea is a small sea in the western Pacific Ocean, located between the Indonesian islands of Sumba, Timor, and Flores, known for its deep waters and rich marine biodiversity.
  • D. 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.
  • E. Océan
    Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
  • 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: SEAQ
Triple: [SETS, relatedTo, SEAQ]
Generated description
SEAQ (Stock Exchange Automated Quotations) was the London Stock Exchange’s electronic quote-driven trading system used primarily for smaller and less liquid securities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SEAQ
Target entity description: SEAQ (Stock Exchange Automated Quotations) was the London Stock Exchange’s electronic quote-driven trading system used primarily for smaller and less liquid securities.
  • A. 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.
  • B. SEAS
    SEAS is the acronym for Yale University's School of Engineering & Applied Science, which houses its engineering and applied science programs.
  • C. SavU Sea
    The Savu Sea is a small sea in the western Pacific Ocean, located between the Indonesian islands of Sumba, Timor, and Flores, known for its deep waters and rich marine biodiversity.
  • D. 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.
  • E. Océan
    Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3f835108190b0709ccf3a487a96 completed March 7, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0327600c8190adb057b596a84bca completed March 8, 2026, 11:15 p.m.
NEDg Description generation batch_69ae03b41dcc81909b4439006bdffc64 completed March 8, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69ae0445a9608190918a7bd45b9bf999 completed March 8, 2026, 11:20 p.m.
Created at: March 4, 2026, 7:36 p.m.