Triple

T304381
Position Surface form Disambiguated ID Type / Status
Subject Haarlemmermeer E6265 entity
Predicate borders P224 FINISHED
Object Lisse
Lisse is a town in the western Netherlands renowned for its flower bulb fields and the famous Keukenhof gardens.
 E39153 NE FINISHED

How this triple was built (4 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: [Haarlemmermeer, borders, Lisse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lisse
Context triple: [Haarlemmermeer, borders, Lisse]
  • A. Luce
    Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
  • B. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • C. Figaleia
    Figaleia is an ancient town in southwestern Arcadia, Greece, known for its proximity to the classical sanctuary of Apollo Epicurius at Bassae.
  • D. Tulle
    Tulle is a historic town in central France, known as the capital of the Corrèze department in the Nouvelle-Aquitaine region.
  • E. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lisse
Triple: [Haarlemmermeer, borders, Lisse]
Generated description
Lisse is a town in the western Netherlands renowned for its flower bulb fields and the famous Keukenhof gardens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lisse
Target entity description: Lisse is a town in the western Netherlands renowned for its flower bulb fields and the famous Keukenhof gardens.
  • A. Luce
    Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
  • B. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • C. Figaleia
    Figaleia is an ancient town in southwestern Arcadia, Greece, known for its proximity to the classical sanctuary of Apollo Epicurius at Bassae.
  • D. Tulle
    Tulle is a historic town in central France, known as the capital of the Corrèze department in the Nouvelle-Aquitaine region.
  • E. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • F. None of above. chosen

Provenance (5 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea1032e48190864338e030d9dc92 completed Feb. 28, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3b07566c88190af82b1953902b613 completed March 1, 2026, 3:20 a.m.
NEDg Description generation batch_69a3b0d63cd081908a8e1ce6e24b7a8f completed March 1, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_69a3b13a9cdc81908b2f125f8ddede8f completed March 1, 2026, 3:23 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.