Triple

T22863632
Position Surface form Disambiguated ID Type / Status
Subject Logon Beach E566991 entity
Predicate locatedIn P40 FINISHED
Object Logon 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: Logon | Statement: [Logon Beach, locatedIn, Logon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Logon
Context triple: [Logon Beach, locatedIn, Logon]
  • A. Logon chosen
    Logon is a small coastal village on Malapascua Island in the Philippines, known as the island’s main settlement and gateway for visitors.
  • B. Log On
    "Log On" is a popular dancehall track by Jamaican artist Elephant Man that became widely known for its energetic rhythm and associated dance moves.
  • C. Connexion
    Connexion is a Python web framework that automates REST API creation by routing requests based on an OpenAPI (Swagger) specification.
  • D. Connexion
    Connexion is the organizational and spiritual network that links Methodist congregations and ministries into a unified church body.
  • E. DS Logon
    DS Logon is a secure, Department of Defense-managed online credential that allows eligible service members, veterans, and their families to access various military and VA benefit websites and services.
  • 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17eff1c18819081dc9dfc1816f746 completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.