Triple

T18158684
Position Surface form Disambiguated ID Type / Status
Subject FSE E434698 entity
Predicate hasAbbreviation P43 FINISHED
Object FSE NE NERFINISHED

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: FSE | Statement: [FSE, hasAbbreviation, FSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FSE
Context triple: [FSE, hasAbbreviation, FSE]
  • A. FSE
    FSE is the Faculty of Science and Engineering at the University of Groningen, encompassing a broad range of natural sciences, engineering, and technology disciplines.
  • B. FSE
    FSE (Fast Software Encryption) is a leading international research conference focused on the design and analysis of symmetric-key cryptographic primitives and algorithms.
  • C. FSE
    FSE is the stock exchange abbreviation for the Frankfurt Stock Exchange in Germany.
  • D. FSE
    FSE is a premier international research conference on software engineering organized under ACM SIGSOFT.
  • E. FST
    FST is the commonly used abbreviation for the UK government ministerial post of Financial Secretary to the Treasury, a key role within HM Treasury responsible for economic and financial matters.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec02d9c81909ac6203b7d59c405 completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.