Triple

T565133
Position Surface form Disambiguated ID Type / Status
Subject South Holland E13536 entity
Predicate containsCity P294 FINISHED
Object Lisse E39153 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: Lisse | Statement: [South Holland, containsCity, Lisse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisse
Context triple: [South Holland, containsCity, Lisse]
  • A. Lisse chosen
    Lisse is a town in the western Netherlands renowned for its flower bulb fields and the famous Keukenhof gardens.
  • B. Luce
    Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
  • C. Lagting
    Lagting was one of the two former chambers of the Norwegian Parliament, historically functioning as its upper house before the legislature became unicameral.
  • D. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • E. Rokin
    Rokin is a major street and canal in central Amsterdam, known for its historic buildings, shops, and proximity to Dam Square.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49a74793481908fee3baff0b1d348 completed March 1, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ed37a98081909afbc0de4079dda8 completed March 2, 2026, 1:51 a.m.
Created at: March 1, 2026, 7:32 p.m.