Triple

T23423245
Position Surface form Disambiguated ID Type / Status
Subject Microsoft Office 2000 E560721 entity
Predicate supportsFormat P203 FINISHED
Object XLS E5278 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: XLS | Statement: [Microsoft Office 2000, supportsFormat, XLS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XLS
Context triple: [Microsoft Office 2000, supportsFormat, XLS]
  • A. XLS
    XLS is the three-letter IATA airport code assigned to Saint-Louis Airport in Senegal.
  • B. XLS
    XLS was the stock ticker symbol for Exelis Inc., an American aerospace, defense, and information solutions company that was later acquired by Harris Corporation.
  • C. SXC
    SXC is the stock ticker symbol for SunCoke Energy, Inc., a U.S.-based producer of coke used in steelmaking and a provider of related logistics services.
  • D. EX14
    EX14 is a UK postcode district in the EX (Exeter) postcode area, covering Honiton and surrounding parts of East Devon.
  • E. Excel chosen
    Excel is a widely used spreadsheet software by Microsoft that enables data organization, analysis, visualization, and basic to advanced analytics through formulas, functions, and tools like PivotTables.
  • 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_69e2454cb1108190ab21ada5411a7146 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a54780d88190a7d5c1426b85b7fc completed April 29, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67a5972c8190b8f04785bb1817ec completed May 19, 2026, 1:37 p.m.
Created at: April 17, 2026, 5:47 p.m.