Triple

T5805175
Position Surface form Disambiguated ID Type / Status
Subject Haderslev E128727 entity
Predicate locatedNear P294 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: [Haderslev, locatedNear, Little Belt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Belt
Context triple: [Haderslev, locatedNear, 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. Schley
    Schley is a surname of German origin borne by various notable individuals, including American politicians and military figures.
  • E. Bogue
    Bogue is a locality in southern China near the Pearl River Delta that historically served as a strategic site for foreign trade and treaty negotiations during the 19th century.
  • 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_69c00846a0d881909e46841f8e156b64 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b1461a48190be2042dd3823d02e completed March 22, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09836d00881908c210b2932d67519 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:52 p.m.