Triple

T3404017
Position Surface form Disambiguated ID Type / Status
Subject Scheveningen E71726 entity
Predicate hasPart P35 FINISHED
Object Scheveningen Pier E71726 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: Scheveningen Pier | Statement: [Scheveningen, hasPart, Scheveningen Pier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scheveningen Pier
Context triple: [Scheveningen, hasPart, Scheveningen Pier]
  • A. Houtribdijk
    Houtribdijk is a major Dutch dam and causeway that connects Lelystad and Enkhuizen, playing a key role in land reclamation and water management in the IJsselmeer region.
  • B. Spui (Amsterdam)
    Spui (Amsterdam) is a central square in Amsterdam known as a lively hub for book markets, cafes, and cultural events.
  • C. Amsterdamse Poort
    Amsterdamse Poort is the last remaining medieval city gate of Haarlem, Netherlands, and a notable historic architectural monument.
  • D. Weststellingwerf
    Weststellingwerf is a municipality in the province of Friesland in the northern Netherlands, known for its rural landscape and small villages.
  • E. Scheveningen chosen
    Scheveningen is a popular seaside resort district of The Hague in the Netherlands, known for its long sandy beach, pier, and promenade along the North Sea coast.
  • 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_69ad85aac4808190a092c9cc8911f584 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8e8ea848190b4ac167f1aba8ebd completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bd69f388190981da6454dfd4fb1 completed March 12, 2026, 11:27 p.m.
Created at: March 8, 2026, 3:14 p.m.