Triple

T9214657
Position Surface form Disambiguated ID Type / Status
Subject Céreste E221211 entity
Predicate locatedNear P294 FINISHED
Object Apt E130575 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: Apt | Statement: [Céreste, locatedNear, Apt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apt
Context triple: [Céreste, locatedNear, Apt]
  • A. Apt chosen
    Apt is a historic market town in southeastern France’s Vaucluse department, known for its candied fruit production and Provençal charm.
  • B. 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.
  • C. 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.
  • D. AAPT
    AAPT is a professional organization dedicated to advancing the teaching and learning of physics at all educational levels.
  • E. Debian
    Debian is a widely used, community-driven Linux distribution known for its stability, extensive package repository, and role as the basis for many other operating systems such as Ubuntu.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda06bf80819094c6e74b4b6a31e4 completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0661c4c2c8190bc5be991a3a75f2b completed April 4, 2026, 1:15 a.m.
Created at: March 30, 2026, 7:27 p.m.