Triple

T10847433
Position Surface form Disambiguated ID Type / Status
Subject Transilien Line N E256049 entity
Predicate servesTown P847 FINISHED
Object Plaisir E601934 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: Plaisir | Statement: [Transilien Line N, servesTown, Plaisir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Plaisir
Context triple: [Transilien Line N, servesTown, Plaisir]
  • A. Plaisir chosen
    Plaisir is a suburban commune in the Yvelines department of the Île-de-France region in north-central France, known for its residential areas and proximity to Paris.
  • B. Le Plaisir
    Le Plaisir is a 1952 French anthology film directed by Max Ophüls, adapting three Guy de Maupassant stories into elegant, interwoven tales of love, desire, and human folly.
  • C. Le Bonheur
    Le Bonheur is a philosophical poetry collection by French poet and Nobel laureate Sully Prudhomme that meditates on the nature and pursuit of human happiness.
  • D. Le Bonheur
    Le Bonheur is a 1965 French New Wave film by Agnès Varda that explores marital fidelity and the nature of happiness through a visually lush yet unsettlingly ironic style.
  • E. Le Bon Plaisir
    Le Bon Plaisir is a French political comedy-drama film featuring Michel Serrault in a prominent role.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75113bc188190ac78df0c51d95de6 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb170e714819097babb2b850342d2 completed April 14, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:20 p.m.