Triple

T12770351
Position Surface form Disambiguated ID Type / Status
Subject Lens E305231 entity
Predicate hasSportsTeam P330 FINISHED
Object RC Lens E83260 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: RC Lens | Statement: [Lens, hasSportsTeam, RC Lens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RC Lens
Context triple: [Lens, hasSportsTeam, RC Lens]
  • A. RC Lens chosen
    RC Lens is a French professional football club based in the northern city of Lens, known for its passionate fanbase and history in Ligue 1.
  • B. Lens
    Lens is a commune in northern France known for its mining heritage and the Louvre-Lens art museum.
  • C. 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.
  • D. Lenses
    Lenses are Snapchat’s interactive augmented reality filters that overlay animations and effects onto users’ faces and surroundings in real time.
  • E. 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.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df4b36c81909bcc913dd5e535f8 completed April 10, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f9ba848190b680d730b6a3b972 completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:28 p.m.