Triple

T22683368
Position Surface form Disambiguated ID Type / Status
Subject Stellæburgum E560841 entity
Predicate locatedOn P40 FINISHED
Object Hven 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: Hven | Statement: [Stellæburgum, locatedOn, Hven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hven
Context triple: [Stellæburgum, locatedOn, Hven]
  • A. Hven chosen
    Hven is a small Danish island in the Øresund Strait, historically renowned as the site of astronomer Tycho Brahe’s pioneering observatories and research center.
  • B. Hvam
    Hvam is a small village in Nes municipality in Akershus county, Norway.
  • C. Henvic
    Henvic is a small commune in the Finistère department of Brittany in northwestern France.
  • D. Vennes
    Vennes is a metro station on Lausanne’s M2 line in Switzerland, serving the eastern part of the city near the Olympic Museum and local residential areas.
  • E. Hwni
    Hwni is an alternative transliteration of Huni, an ancient Egyptian pharaoh of the Third Dynasty.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1786204d88190a837a5f04e16e94c completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:12 p.m.