Triple

T14454016
Position Surface form Disambiguated ID Type / Status
Subject Brügg E358406 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Orpund E1036098 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: Orpund | Statement: [Brügg, hasNeighboringMunicipality, Orpund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orpund
Context triple: [Brügg, hasNeighboringMunicipality, Orpund]
  • A. Orpund chosen
    Orpund is a municipality in the canton of Bern in Switzerland, situated near the city of Biel/Bienne.
  • B. Ingemund
    Ingemund is a Scandinavian masculine given name of Old Norse origin, historically borne by several notable figures in Sweden and Norway.
  • C. Halvdan
    Halvdan is a masculine given name of Scandinavian origin, historically borne by several notable Norwegian figures.
  • D. Hrothmund
    Hrothmund is a legendary Danish prince from the Old English epic Beowulf, known as one of King Hrothgar’s sons and a member of the Scylding royal line.
  • E. Svein
    Svein is a masculine given name of Old Norse origin, commonly used in Scandinavian countries.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91a8bf088190abf5fd4f646b8c62 completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d86dbc0819085fef8fa8b45b373 completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:19 a.m.