Triple

T21746145
Position Surface form Disambiguated ID Type / Status
Subject R533 road E536792 entity
Predicate terminus P388 FINISHED
Object Ohrigstad 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: Ohrigstad | Statement: [R533 road, terminus, Ohrigstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ohrigstad
Context triple: [R533 road, terminus, Ohrigstad]
  • A. Ohrigstad chosen
    Ohrigstad is a small rural town in South Africa’s Mpumalanga province, known as a gateway to the Panorama Route and nearby natural attractions such as the Blyde River Canyon.
  • B. Svarstad
    Svarstad is a Norwegian surname associated with individuals such as Maren Svarstad.
  • C. Steenodde
    Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
  • D. Stordal
    Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
  • E. Gangstad
    Gangstad is a small settlement located within the municipality of Inderøy in Trøndelag county, Norway.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a76540c8190b91a67f4a70869fb completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:49 p.m.