Triple

T22088023
Position Surface form Disambiguated ID Type / Status
Subject La Fontaine Park E545835 entity
Predicate namedAfter P63 FINISHED
Object Jean de La Fontaine 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: Jean de La Fontaine | Statement: [La Fontaine Park, namedAfter, Jean de La Fontaine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean de La Fontaine
Context triple: [La Fontaine Park, namedAfter, Jean de La Fontaine]
  • A. Jean de La Fontaine chosen
    Jean de La Fontaine was a 17th-century French poet and fabulist best known for his enduring collection of moral fables inspired by Aesop.
  • B. La Fontaine
    La Fontaine is a residential neighborhood in the municipality of Chêne-Bougeries, located in the canton of Geneva, Switzerland.
  • C. La Fontaine
    La Fontaine was a renowned 17th-century French poet and fabulist best known for his moralistic verse fables that became classics of French literature.
  • D. Joseph-François Perrault
    Joseph-François Perrault was a Canadian businessman, educator, and politician in Lower Canada, recognized as a pioneer of public education in Quebec in the late 18th and early 19th centuries.
  • E. Jean-François Marmontel
    Jean-François Marmontel was an 18th-century French historian, writer, and Encyclopédiste known for his moral tales and contributions to the Enlightenment.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e3a98481908a7b3dc3f2a90276 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.