Triple

T7696731
Position Surface form Disambiguated ID Type / Status
Subject SEACEN Centre E174388 entity
Predicate abbreviation P43 FINISHED
Object SEACEN E174388 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: SEACEN | Statement: [SEACEN Centre, abbreviation, SEACEN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SEACEN
Context triple: [SEACEN Centre, abbreviation, SEACEN]
  • A. SEACEN Centre chosen
    The SEACEN Centre is a regional training and research institution that supports central banks and monetary authorities in the Asia-Pacific region through capacity building and policy collaboration.
  • B. 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.
  • C. 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.
  • D. SEAS
    SEAS is the acronym for Yale University's School of Engineering & Applied Science, which houses its engineering and applied science programs.
  • E. 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.
  • 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_69c6995a72cc8190998e56daa6f8e453 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70267dab88190ac8e3f643343bf13 completed March 27, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acaee2c481909efa30125e8ca890 completed March 29, 2026, 4:38 a.m.
Created at: March 27, 2026, 4:03 p.m.