Triple

T10441284
Position Surface form Disambiguated ID Type / Status
Subject Schleswig E246174 entity
Predicate hasHarbour P3007 FINISHED
Object Schleswig harbour E816079 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: Schleswig harbour | Statement: [Schleswig, hasHarbour, Schleswig harbour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schleswig harbour
Context triple: [Schleswig, hasHarbour, Schleswig harbour]
  • A. Schleswig harbor chosen
    Schleswig harbor is a small historic port and marina in the town of Schleswig on the Schlei inlet in northern Germany.
  • B. Svendborg Harbour
    Svendborg Harbour is a key commercial and ferry port in the town of Svendborg on the Danish island of Funen, serving as an important maritime hub in the South Funen Archipelago.
  • C. Frederikshavn Harbour
    Frederikshavn Harbour is a major commercial and ferry port in the town of Frederikshavn in northern Denmark, serving as an important maritime hub for traffic across the Kattegat and to Norway and Sweden.
  • D. Vejle Harbour
    Vejle Harbour is the waterfront port area of the Danish city of Vejle, known for its mix of maritime activity, modern architecture, and urban redevelopment along Vejle Fjord.
  • E. Nyborg Harbour
    Nyborg Harbour is a Danish port facility in the coastal town of Nyborg on the island of Funen, serving local maritime traffic, fishing, and recreational boating.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb9ebf488190ae776bd65e94cb00 completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fa5b3b081909af7de1745372add completed April 10, 2026, 6:58 a.m.
Created at: April 6, 2026, 12:15 p.m.