Triple

T10132194
Position Surface form Disambiguated ID Type / Status
Subject South Holland E226364 entity
Predicate containsCity P294 FINISHED
Object Teylingen E81864 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: Teylingen | Statement: [South Holland, containsCity, Teylingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teylingen
Context triple: [South Holland, containsCity, Teylingen]
  • A. Teylingen chosen
    Teylingen is a municipality in the Dutch province of South Holland, known for its historic estates and proximity to the bulb-growing region.
  • B. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • C. Hansweert
    Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
  • D. Olingen
    Olingen is a small village in eastern Luxembourg that forms part of the commune of Betzdorf.
  • E. Zeevang
    Zeevang is a rural municipality in North Holland, Netherlands, characterized by its polder landscapes and traditional Dutch villages within the greater Amsterdam region.
  • 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_69f60a4d8a3481909c7f8a529d0051c2 completed May 2, 2026, 2:29 p.m.
Created at: March 30, 2026, 9:06 p.m.