Triple

T14109710
Position Surface form Disambiguated ID Type / Status
Subject Østerport E339600 entity
Predicate nearbyLandmark P350 FINISHED
Object Østre Anlæg E785529 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: Østre Anlæg | Statement: [Østerport, nearbyLandmark, Østre Anlæg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Østre Anlæg
Context triple: [Østerport, nearbyLandmark, Østre Anlæg]
  • A. Østre Anlæg chosen
    Østre Anlæg is a public park in central Copenhagen, Denmark, known for its lakes, walking paths, and proximity to major cultural institutions.
  • B. Ennore Port
    Ennore Port, now known as Kamarajar Port, is a major all-weather, coal-handling seaport located near Chennai on the eastern coast of India.
  • C. Norre Port
    Norre Port is a historic city gate in Halmstad, Sweden, known as one of the best-preserved medieval fortification gates in the country.
  • D. Vesterø Havn
    Vesterø Havn is a small coastal village and ferry port on the Danish island of Læsø in the Kattegat.
  • E. Islands Brygge
    Islands Brygge is a waterfront neighborhood in Copenhagen known for its harbor baths, modern residential developments, and lively public spaces along the harbor.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600caf308190ab6d8451ed4e3797 completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b699108190993f1102418ecff1 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.