Triple

T20465790
Position Surface form Disambiguated ID Type / Status
Subject LDSS-2 E502043 entity
Predicate relatedInstrument P7726 FINISHED
Object LDSS 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: LDSS | Statement: [LDSS-2, relatedInstrument, LDSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LDSS
Context triple: [LDSS-2, relatedInstrument, LDSS]
  • A. LDSS-2 chosen
    LDSS-2 is an earlier-generation astronomical imaging spectrograph that was later replaced by the more advanced LDSS3 instrument.
  • B. LDDS
    LDDS was the original name and ticker symbol of the U.S. telecommunications company that later became WorldCom, a major long-distance carrier involved in one of the largest accounting scandals in history.
  • C. LSS
    LSS is the student-run representative organization for law students at Dalhousie University’s Schulich School of Law.
  • D. LSS
    LSS is the station code for LaSalle Street Station, a major commuter rail terminal in downtown Chicago, Illinois.
  • E. DSS
    DSS is the government agency in Prince William County, Virginia responsible for providing social services and public assistance programs to residents in need.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696aa0794819082c9989b1f7e9f37 completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.