Triple

T13165599
Position Surface form Disambiguated ID Type / Status
Subject Germania Inferior E312841 entity
Predicate hasMajorSettlement P316 FINISHED
Object Voorburg E379063 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: Voorburg | Statement: [Germania Inferior, hasMajorSettlement, Voorburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Voorburg
Context triple: [Germania Inferior, hasMajorSettlement, Voorburg]
  • A. Voorburg chosen
    Voorburg is a historic town in the Netherlands, now part of the municipality of Leidschendam-Voorburg, known for its rich cultural heritage and proximity to The Hague.
  • B. Bleiswijk
    Bleiswijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and location within the municipality of Lansingerland.
  • C. Albrandswaard
    Albrandswaard is a municipality in the western Netherlands, situated just south of Rotterdam in the province of South Holland.
  • D. Onderdendam
    Onderdendam is a small historic village in the Dutch province of Groningen, known for its canals, bridges, and traditional architecture.
  • E. Egmond aan Zee
    Egmond aan Zee is a coastal village in the Netherlands known for its sandy beaches, dunes, and historic lighthouse on the North Sea.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0bf5a48190bf245dceee24b579 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c6f5c0d88190b51cd65f6b7f8e6d completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 9:13 p.m.