Triple

T23108036
Position Surface form Disambiguated ID Type / Status
Subject Palmesus E576230 entity
Predicate organiser P4735 FINISHED
Object Palmesus AS 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: Palmesus AS | Statement: [Palmesus, organiser, Palmesus AS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palmesus AS
Context triple: [Palmesus, organiser, Palmesus AS]
  • A. Palmesus chosen
    Palmesus is a large annual beach music festival held in Kristiansand, Norway, known for attracting popular international artists and big summer crowds.
  • B. Pandox AB
    Pandox AB is a Swedish hotel property company that owns and manages a large portfolio of hotel real estate across Europe.
  • C. Palm, Inc.
    Palm, Inc. was a pioneering American company best known for developing early personal digital assistants (PDAs) and smartphones such as the PalmPilot and the webOS-based Palm Pre.
  • D. Pax Enterprises
    Pax Enterprises is a film and television production company known for producing the British crime-action series "The Professionals."
  • E. Scala A/S
    Scala A/S is a company known for developing specialized measurement and control instruments, including the Scala MM400.
  • 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e0c7b9c8190b1160485eae87c9b completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:58 p.m.