Triple

T22405660
Position Surface form Disambiguated ID Type / Status
Subject subprefecture of Vaucluse E553874 entity
Predicate seat P75 FINISHED
Object Apt 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: Apt | Statement: [subprefecture of Vaucluse, seat, Apt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apt
Context triple: [subprefecture of Vaucluse, seat, Apt]
  • A. Apt
    Apt is the surname of Milburn G. Apt, a U.S. Air Force test pilot known for being the first person to exceed Mach 3.
  • B. Apt chosen
    Apt is a historic market town in southeastern France’s Vaucluse department, known for its candied fruit production and Provençal charm.
  • C. apt-get
    apt-get is a command-line package management tool on Debian-based Linux systems that automates the retrieval, installation, upgrade, and removal of software packages.
  • D. APT-P
    APT-P was the experimental tilting prototype of British Rail’s Advanced Passenger Train, built to test high-speed rail technology in the 1970s–80s.
  • E. AAPT
    AAPT is a professional organization dedicated to advancing the teaching and learning of physics at all educational levels.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b739b88190a7f1f20fd1e9b188 completed April 29, 2026, 1:02 a.m.
Created at: April 16, 2026, 8:46 p.m.