Triple

T22154226
Position Surface form Disambiguated ID Type / Status
Subject East Dart River E547491 entity
Predicate mouthLocation P417 FINISHED
Object Dartmeet 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: Dartmeet | Statement: [East Dart River, mouthLocation, Dartmeet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dartmeet
Context triple: [East Dart River, mouthLocation, Dartmeet]
  • A. Dartmeet chosen
    Dartmeet is a scenic spot on Dartmoor in Devon, England, known as a popular tourist stop where the East and West Dart rivers meet amid moorland and granite tors.
  • B. DARTS
    DARTS is a widely used differentiable neural architecture search method that optimizes network structures in a continuous space using gradient-based techniques.
  • C. Dipsea Race
    The Dipsea Race is a historic and challenging annual trail running event in Marin County, California, renowned as the oldest trail race in the United States.
  • D. Lomba
    Lomba is a small settlement in the municipality of Santa Cruz das Flores on Flores Island in Portugal’s Azores archipelago.
  • E. Dart Charge
    Dart Charge is the electronic toll collection system used to pay for crossing the River Thames via the Dartford Crossing in the UK.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f6d5b88190badee2e515a3b633 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.