Triple

T18733567
Position Surface form Disambiguated ID Type / Status
Subject Sassenheim E458100 entity
Predicate nearbySettlement P350 FINISHED
Object Lisse 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: Lisse | Statement: [Sassenheim, nearbySettlement, Lisse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisse
Context triple: [Sassenheim, nearbySettlement, Lisse]
  • A. Lisse chosen
    Lisse is a town in the western Netherlands renowned for its flower bulb fields and the famous Keukenhof gardens.
  • B. Lisses
    Lisses is a commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
  • C. Lissois
    Lissois is the French demonym for inhabitants of the commune of Lisses in the Île-de-France region.
  • D. Libná
    Libná is a small settlement that forms part of the town of Teplice nad Metují in the Hradec Králové Region of the Czech Republic.
  • E. Lusei
    Lusei are a major clan of the Mizo people of Northeast India, historically influential in shaping Mizo culture, language, and social organization.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d791ab88190b333503f9b1ad0c0 completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:51 a.m.