Triple

T22621436
Position Surface form Disambiguated ID Type / Status
Subject Leopold Park (Ostend) E558290 entity
Predicate locatedIn P40 FINISHED
Object Ostend 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: Ostend | Statement: [Leopold Park (Ostend), locatedIn, Ostend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ostend
Context triple: [Leopold Park (Ostend), locatedIn, Ostend]
  • A. Ostend chosen
    Ostend is a Belgian coastal city on the North Sea known for its beaches, port, and seaside tourism.
  • B. Ostend
    Ostend is a small residential and commercial settlement on Waiheke Island in New Zealand’s Hauraki Gulf.
  • C. Ostend
    Ostend is a district of Frankfurt am Main in Germany, known for its mix of historic neighborhoods, modern developments, and the European Central Bank’s headquarters.
  • D. Gravelines
    Gravelines is a coastal commune in northern France known for its historic fortifications and strategic position along the English Channel.
  • E. Bruges
    Bruges is a commune in southwestern France, located near the city of Bordeaux in the Gironde department.
  • 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e39959481909e0ae67379435f95 completed April 29, 2026, 2:34 a.m.
Created at: April 17, 2026, 3 p.m.