Triple

T10966053
Position Surface form Disambiguated ID Type / Status
Subject Limbourg E259099 entity
Predicate hasPart P35 FINISHED
Object lower town (Ville Basse) E416282 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: lower town (Ville Basse) | Statement: [Limbourg, hasPart, lower town (Ville Basse)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: lower town (Ville Basse)
Context triple: [Limbourg, hasPart, lower town (Ville Basse)]
  • A. Ville Basse chosen
    Ville Basse is the lower, more modern part of the French city of Carcassonne, known for its shops, squares, and everyday urban life in contrast to the fortified medieval citadel.
  • B. Baixa
    Baixa is Lisbon’s historic downtown district, known for its grid-planned streets, grand plazas, and Pombaline architecture rebuilt after the 1755 earthquake.
  • C. Lower Town
    Lower Town is a district within Oranjestad, the capital city of Aruba, known for its coastal setting and local residential character.
  • D. Lower Town
    Lower Town is one of Ottawa’s oldest central neighborhoods, known for its historic character, diverse communities, and proximity to major federal landmarks and the ByWard Market.
  • E. Lower Town
    Lower Town is the riverside section of Belgrade Fortress, historically serving as its commercial and military quarter along the confluence of the Sava and Danube rivers.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77149c0448190a66322fa696fdbda completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d77277108190979f1b1edeac8964 completed April 18, 2026, 12:59 a.m.
Created at: April 8, 2026, 9:24 p.m.