Triple

T2154744
Position Surface form Disambiguated ID Type / Status
Subject Old Quebec E47860 entity
Predicate hasPart P35 FINISHED
Object Old Port of Quebec E147903 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: Old Port of Quebec | Statement: [Old Quebec, hasPart, Old Port of Quebec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Port of Quebec
Context triple: [Old Quebec, hasPart, Old Port of Quebec]
  • A. Old Quebec
    Old Quebec is the fortified historic district of Quebec City, renowned for its well-preserved colonial architecture, cobblestone streets, and status as a UNESCO World Heritage Site.
  • B. Port of Quebec chosen
    The Port of Quebec is a major Canadian seaport and historic maritime hub located in Quebec City along the Saint Lawrence River.
  • C. Citadelle of Quebec
    The Citadelle of Quebec is a historic star-shaped fortress and active military installation overlooking Old Quebec, recognized as part of the UNESCO World Heritage Site.
  • D. Old Montreal
    Old Montreal is the historic district of Montreal, known for its cobblestone streets, preserved 17th–19th century architecture, and major landmarks along the St. Lawrence River.
  • E. Site Richelieu
    Site Richelieu is a historic complex in central Paris that serves as one of the main locations of the Bibliothèque nationale de France, housing important research collections, reading rooms, and cultural spaces.
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe64fdf081909a5ea6818bddd18c completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69af175e79d881909390ae71cceb6db2 completed March 9, 2026, 6:54 p.m.
Created at: March 4, 2026, 7:44 p.m.