Triple

T14334182
Position Surface form Disambiguated ID Type / Status
Subject DDW E355427 entity
Predicate positionInSector P114004 FINISHED
Object one of the largest design events in Northern Europe LITERAL 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: one of the largest design events in Northern Europe | Statement: [DDW, positionInSector, one of the largest design events in Northern Europe]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionInSector
Context triple: [DDW, positionInSector, one of the largest design events in Northern Europe]
  • A. positionInCase
    Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
  • B. positionInChamber
    Indicates the specific location or role an entity holds within a particular chamber or assembly.
  • C. positionInAct
    Indicates the specific location or role that something occupies within a particular act or segment of a larger sequence or performance.
  • D. positionOnTerritory
    Indicates that one entity occupies or is located at a specific position within the spatial extent of another entity’s territory.
  • E. positionEstablishedIn
    Indicates the point in time or event when a particular position, role, or office was formally created or instituted.
  • F. None of above. chosen

Provenance (4 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c20d2148190bb534bef338e871d completed April 14, 2026, 6:49 p.m.
PD Predicate disambiguation batch_69de2a9515f4819081aabf251bca5878 completed April 14, 2026, 11:52 a.m.
PDg Predicate description generation batch_69de2e9ded24819099200349cf80e068 completed April 14, 2026, 12:10 p.m.
Created at: April 10, 2026, 1:13 a.m.