Triple

T21637034
Position Surface form Disambiguated ID Type / Status
Subject LWSD E533986 entity
Predicate hasAbbreviation P43 FINISHED
Object LWSD 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: LWSD | Statement: [LWSD, hasAbbreviation, LWSD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LWSD
Context triple: [LWSD, hasAbbreviation, LWSD]
  • A. LWSD chosen
    LWSD is a public school district serving communities on the east side of Lake Washington in Washington State, including cities such as Redmond, Kirkland, and Sammamish.
  • B. LWDA
    LWDA is the acronym for the California Labor and Workforce Development Agency, a state entity responsible for overseeing labor laws, workforce programs, and employment-related services in California.
  • C. LW
    LW is the station code used to identify Lawrence West station on Toronto's subway system.
  • D. LSW
    LSW is the station code for Lisarow railway station on the Main Northern line in New South Wales, Australia.
  • E. WSDC
    WSDC is the commonly used abbreviation for the World Single Distances Speed Skating Championships, an international competition where elite speed skaters race specific distances for world titles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef538ddb088190a3cba6fdc84c0ae8 completed April 27, 2026, 12:16 p.m.
Created at: April 16, 2026, 6:35 p.m.