Triple

T22762800
Position Surface form Disambiguated ID Type / Status
Subject Lake District fells E563035 entity
Predicate contains P35 FINISHED
Object Seat Sandal 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: Seat Sandal | Statement: [Lake District fells, contains, Seat Sandal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seat Sandal
Context triple: [Lake District fells, contains, Seat Sandal]
  • A. Seat Sandal chosen
    Seat Sandal is a prominent fell in England’s Lake District, rising between Grisedale and Dunmail Raise and popular with hikers for its sweeping views of the surrounding Eastern Fells.
  • B. SS-4 Sandal
    SS-4 Sandal is the NATO reporting name for the Soviet R-12 Dvina, a medium-range ballistic missile that played a central role in Cold War nuclear arsenals, notably during the Cuban Missile Crisis.
  • C. Sandal Magna
    Sandal Magna is a historic area and former village in West Yorkshire, England, best known for encompassing the site of medieval Sandal Castle near Wakefield.
  • D. Bota
    Bota is a small riverside settlement in the Malaysian state of Perak, situated along the Perak River.
  • E. Shoe
    Shoe is a satirical comic strip created by cartoonist Jeff MacNelly that centers on anthropomorphic bird characters working in a newsroom.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a7dd9348190ba7c74362ad30b1e completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:26 p.m.