Triple

T12281827
Position Surface form Disambiguated ID Type / Status
Subject DDD E292732 entity
Predicate supportsDebugger P203 FINISHED
Object XDB E643292 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: XDB | Statement: [DDD, supportsDebugger, XDB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XDB
Context triple: [DDD, supportsDebugger, XDB]
  • A. XDB chosen
    XDB is the IATA station code for Lille Europe, a major high-speed railway station in Lille, France.
  • B. DBE
    DBE is the title "Dame Commander of the Order of the British Empire," a high-ranking honor awarded in the British honours system.
  • C. EDB
    EDB is the National Rail station code for Edinburgh Waverley, the main railway station in Edinburgh, Scotland.
  • D. CDB
    CDB is the National Rail station code for Cardiff Bay railway station in Cardiff, Wales.
  • E. CDB
    CDB is a regional multilateral development bank that provides financial and technical assistance to promote economic and social development in the Caribbean.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf2b09c81908a11581d33f65be0 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e70dec8819098199fbb54d888c1 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.