Triple

T10132187
Position Surface form Disambiguated ID Type / Status
Subject South Holland E226364 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. 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. Lusei
    Lusei are a major clan of the Mizo people of Northeast India, historically influential in shaping Mizo culture, language, and social organization.
  • D. Litzlitz
    Litzlitz is a language of Vanuatu, also known as Naman, spoken by a small community on the island of Malakula.
  • E. Licinia
    Licinia was a Roman noblewoman of the late Republic, known primarily as the daughter of Mucia Tertia and thus connected to prominent political families of her time.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd336cbf48190b647c69675d0b06f completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5ce3fcc8190b1d07dbba34d6bff completed April 5, 2026, 10:44 p.m.
Created at: March 30, 2026, 9:06 p.m.