Triple

T8309997
Position Surface form Disambiguated ID Type / Status
Subject Region of Southern Denmark E194566 entity
Predicate bordersBodyOfWater P212 FINISHED
Object Little Belt E179745 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: Little Belt | Statement: [Region of Southern Denmark, bordersBodyOfWater, Little Belt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Belt
Context triple: [Region of Southern Denmark, bordersBodyOfWater, Little Belt]
  • A. Little Belt chosen
    Little Belt is a narrow strait in Denmark that separates the island of Funen from the Jutland Peninsula and connects the Baltic Sea with the Kattegat.
  • B. Lochnagar
    Lochnagar is a prominent mountain in the Cairngorms of Scotland, famed for its dramatic north-facing corrie and connections to royal Deeside.
  • C. Port Tennant
    Port Tennant is a residential and industrial district of Swansea in South Wales, situated near the city’s docks and eastern waterfront.
  • D. The Nore
    The Nore is a sandbank at the mouth of the Thames Estuary in England that historically served as a major Royal Navy anchorage and site of naval command.
  • E. La Brigue
    La Brigue is a small historic village in the Ligurian Alps of southeastern France, known for its medieval architecture and scenic mountain surroundings.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2d2c30819095075940479b75a7 completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95665390819089c8becad018cf51 completed April 1, 2026, 10 p.m.
Created at: March 30, 2026, 5:54 p.m.