Triple

T9766474
Position Surface form Disambiguated ID Type / Status
Subject Konstanz E237005 entity
Predicate hasPort P35 FINISHED
Object Konstanz harbor E237005 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: Konstanz harbor | Statement: [Konstanz, hasPort, Konstanz harbor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konstanz harbor
Context triple: [Konstanz, hasPort, Konstanz harbor]
  • A. Plochingen
    Plochingen is a town in the German state of Baden-Württemberg, known for its location at the confluence of the Fils and Neckar rivers and its distinctive Hundertwasser-designed residential complex.
  • B. Küsnacht harbor
    Küsnacht harbor is a scenic lakeside marina and public waterfront area on the shores of Lake Zurich in the municipality of Küsnacht, Switzerland.
  • C. Lindau
    Lindau is a historic Bavarian town in southern Germany located on an island in Lake Constance near the borders with Austria and Switzerland.
  • D. Konstanz chosen
    Konstanz is a historic city on the shores of Lake Constance in southern Germany, known for its well-preserved medieval old town and role as a regional cultural and economic center.
  • E. Donaueschingen
    Donaueschingen is a town in southwestern Germany, in the Black Forest region of Baden-Württemberg, known as one of the sources of the Danube River.
  • 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0a15e408190909745cb1c30937d completed April 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcf965e88190b505ce160f77e9b7 completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:25 p.m.