Triple

T13837364
Position Surface form Disambiguated ID Type / Status
Subject Barrières of Paris E332565 entity
Predicate locatedOn P40 FINISHED
Object customs wall of Paris E332565 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: customs wall of Paris | Statement: [Barrières of Paris, locatedOn, customs wall of Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: customs wall of Paris
Context triple: [Barrières of Paris, locatedOn, customs wall of Paris]
  • A. Porte de Paris
    Porte de Paris is a historic city gate in Cambrai, France, notable for its monumental architecture and role as a former entrance to the fortified town.
  • B. Porte de Paris
    Porte de Paris is a historic city gate in Villeneuve-sur-Lot, France, notable for its preserved medieval architecture and role as a symbolic entrance to the old town.
  • C. Barrières of Paris chosen
    The Barrières of Paris were a series of monumental toll gates built around late 18th-century Paris as part of the city’s customs wall, many designed in a distinctive neoclassical style by architect Claude Nicolas Ledoux.
  • D. Louvres
    Louvres is a commune in the Val-d'Oise department in the northern suburbs of Paris, France.
  • E. Vue de Paris
    Vue de Paris is a painting by French artist Stanislas Lépine depicting an atmospheric view of Paris, characteristic of his quiet, intimate urban landscapes.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02ac6b7c81908d44632d6d628339 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8f4318881909f6541f40ef87856 completed May 3, 2026, 9:07 p.m.
Created at: April 9, 2026, 10:13 p.m.