Triple

T11685337
Position Surface form Disambiguated ID Type / Status
Subject Northern France E277724 entity
Predicate containsCity P294 FINISHED
Object Lens E305231 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: Lens | Statement: [Northern France, containsCity, Lens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lens
Context triple: [Northern France, containsCity, Lens]
  • A. Lens chosen
    Lens is a commune in northern France known for its mining heritage and the Louvre-Lens art museum.
  • B. Lens
    The Lens is a powerful, telepathic, and semi-sentient device in the Lensman series that grants its wearer enhanced mental abilities and authority as a Galactic Patrol officer.
  • C. Lenses
    Lenses are Snapchat’s interactive augmented reality filters that overlay animations and effects onto users’ faces and surroundings in real time.
  • D. Ulchi Focus Lens
    Ulchi Focus Lens was a large-scale annual joint military exercise between the United States and South Korea designed to enhance readiness and coordination in the defense of South Korea.
  • E. Barlow lenses
    Barlow lenses are optical accessories used in telescopes to effectively increase focal length and magnification by diverging the light path before it reaches the eyepiece.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a463f6448190a4c8e1651a2bd905 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1433be908190b2ac887655a6c85a completed April 27, 2026, 7:45 a.m.
Created at: April 8, 2026, 9:40 p.m.