Triple

T6668079
Position Surface form Disambiguated ID Type / Status
Subject Kagerplassen E151655 entity
Predicate nearbySettlement P350 FINISHED
Object Warmond E318488 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: Warmond | Statement: [Kagerplassen, nearbySettlement, Warmond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warmond
Context triple: [Kagerplassen, nearbySettlement, Warmond]
  • A. Warmond chosen
    Warmond is a village in the Dutch province of South Holland, known for its historic estates and lakeside setting popular for water sports and recreation.
  • B. Urmond
    Urmond is a village in the Dutch province of Limburg, situated along the Juliana Canal near the River Meuse.
  • C. Crowley
    Crowley is the charismatic, sardonic demon and central character from Neil Gaiman and Terry Pratchett’s "Good Omens," known for his unlikely friendship with the angel Aziraphale and his reluctance to fully embrace evil.
  • D. Crowley
    Crowley is a surname most famously associated with Aleister Crowley, the English occultist, writer, and ceremonial magician.
  • E. Warley
    Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0c4a8e48190aa3b2e41902d2f86 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f79cf0e48190a69294f3b13a8372 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:02 p.m.