Triple

T22925771
Position Surface form Disambiguated ID Type / Status
Subject Lyngby-Taarbæk Municipality E569301 entity
Predicate hasGreenArea P5383 FINISHED
Object Dyrehaven 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: Dyrehaven | Statement: [Lyngby-Taarbæk Municipality, hasGreenArea, Dyrehaven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dyrehaven
Context triple: [Lyngby-Taarbæk Municipality, hasGreenArea, Dyrehaven]
  • A. Dyrehaven chosen
    Dyrehaven is a historic deer park and forest north of Copenhagen, famous for its free-roaming deer, scenic landscapes, and the annual Hubertus Hunt.
  • B. Inderhavnen
    Inderhavnen is a central inner harbor area in Copenhagen, Denmark, known for its waterfront promenades, historic buildings, and maritime activity.
  • C. Oinousses
    Oinousses is a small Greek island cluster in the Aegean Sea, known for its maritime tradition and association with prominent Greek shipping families.
  • D. Vinge
    Vinge is a surname most notably associated with Vernor Vinge, the American science fiction author and mathematician known for popularizing the concept of the technological singularity.
  • E. Mære
    Mære is a village in Steinkjer municipality in Trøndelag county, Norway, served by a station on the Trønderbanen railway line.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d90a9481908ea10019980b3951 completed April 29, 2026, 3:54 a.m.
Created at: April 17, 2026, 3:43 p.m.