Triple

T22112166
Position Surface form Disambiguated ID Type / Status
Subject Lakes parish E546443 entity
Predicate contains P35 FINISHED
Object Red Screes 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: Red Screes | Statement: [Lakes parish, contains, Red Screes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Screes
Context triple: [Lakes parish, contains, Red Screes]
  • A. Red Screes chosen
    Red Screes is a prominent fell in England’s Lake District, known for its broad summit plateau and popular walking routes overlooking Kirkstone Pass.
  • B. Red V
    Red V is the iconic nickname and jersey motif associated with the St George Illawarra Dragons rugby league club.
  • C. “Red”
    "Red" is a poem by Ted Hughes included in his collection *Birthday Letters*, reflecting on his relationship with Sylvia Plath through the symbolic use of color.
  • D. Red Saar
    Red Saar is one of the two tributary rivers that join to form the Saar River in western Europe.
  • E. The Red
    The Red is a fundamental force in DC Comics that represents and connects all animal life, granting avatars like Animal Man access to the powers and experiences of every living creature.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1294ae7608190901745384a023bab completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.