Triple

T20017392
Position Surface form Disambiguated ID Type / Status
Subject Philip IV of France E494757 entity
Predicate placeOfBirth P1 FINISHED
Object Fontainebleau NE NERFINISHED

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: Fontainebleau | Statement: [Philip IV of France, placeOfBirth, Fontainebleau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fontainebleau
Context triple: [Philip IV of France, placeOfBirth, Fontainebleau]
  • A. Fontainebleau, France chosen
    Fontainebleau, France is a historic town southeast of Paris best known for its vast forest and royal château, long associated with French monarchs and outdoor recreation.
  • B. Palaiseau
    Palaiseau is a suburban commune in the southern outskirts of Paris, France, known for hosting major scientific and engineering institutions.
  • C. Trappes
    Trappes is a suburban commune in north-central France, located in the Yvelines department within the Île-de-France region near Paris.
  • D. Beauseant
    Beauseant is a scheming aristocrat and one of the principal antagonists in Edward Bulwer-Lytton’s romantic drama "The Lady of Lyons."
  • E. Saint-Germain-en-Laye
    Saint-Germain-en-Laye is a historic town in the western suburbs of Paris, France, known for its royal château and long association with the French monarchy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623d76808190988990a8dc263ef7 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.