Triple

T3271971
Position Surface form Disambiguated ID Type / Status
Subject RER network E68667 entity
Predicate hasCentralHub P2413 FINISHED
Object Auber E235972 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: Auber | Statement: [RER network, hasCentralHub, Auber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auber
Context triple: [RER network, hasCentralHub, Auber]
  • A. Auber chosen
    Auber is a major underground RER and metro station in central Paris, located near the Opéra Garnier and serving as a key hub in the city’s transit network.
  • B. Giacomo Meyerbeer
    Giacomo Meyerbeer was a 19th-century German opera composer renowned for his grand operas that dominated the Parisian stage and influenced the development of Romantic opera.
  • C. Adolphe Adam
    Adolphe Adam was a 19th-century French composer best known for his ballets and operas, including the enduring ballet "Giselle."
  • D. Georges Bizet
    Georges Bizet was a 19th-century French composer best known for his opera "Carmen," one of the most frequently performed works in the operatic repertoire.
  • E. Luigi Cherubini
    Luigi Cherubini was an influential Italian-born composer of the Classical and early Romantic eras, renowned especially for his operas and sacred music and long active in the musical life of Paris.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff6308881908886a44804a0bb09 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28f0793e08190af55ee16e5091451 completed March 12, 2026, 10:01 a.m.
Created at: March 8, 2026, 3:10 p.m.