Triple

T15297638
Position Surface form Disambiguated ID Type / Status
Subject Cannop Ponds E365699 entity
Predicate near P350 FINISHED
Object Parkend E365914 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: Parkend | Statement: [Cannop Ponds, near, Parkend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parkend
Context triple: [Cannop Ponds, near, Parkend]
  • A. Parkend chosen
    Parkend is a small village situated within England’s historic Forest of Dean, known for its woodland surroundings and industrial heritage.
  • B. Parkring
    Parkring is a central boulevard in Vienna that forms part of the historic Ringstrasse, known for its grand architecture and proximity to prominent parks and landmarks.
  • C. Parkar
    Parkar is a less common spelling variant of the surname Parker, which is of English origin.
  • D. Ottopark
    Ottopark is a small urban green space in Berlin’s Moabit district, offering residents a local spot for relaxation and recreation.
  • E. Ketetahi car park
    Ketetahi car park is a main access point and parking area for hikers using the Ketetahi end of New Zealand’s Tongariro Alpine Crossing.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03686bfb8819080ba0caae652170a completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef82f6d08190b809260dda247dfe completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.