Triple

T14099319
Position Surface form Disambiguated ID Type / Status
Subject N20 road E339337 entity
Predicate passesThrough P225 FINISHED
Object Mallow E379368 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: Mallow | Statement: [N20 road, passesThrough, Mallow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mallow
Context triple: [N20 road, passesThrough, Mallow]
  • A. Mallow chosen
    Mallow is a town in north County Cork, Ireland, known historically as a market and spa town on the River Blackwater.
  • B. Malva
    Malva is a genus of flowering plants commonly known as mallows, characterized by their showy, five-petaled flowers and widespread distribution in temperate regions.
  • C. Rhoose
    Rhoose is a coastal village in the Vale of Glamorgan in South Wales, known for its proximity to Cardiff Airport and views over the Bristol Channel.
  • D. Primrose
    Primrose is a delicate flowering plant known for its early spring blooms in soft pastel colors and is commonly cultivated in gardens and naturalized landscapes.
  • E. Primrose
    Primrose is a small rural town located in Dane County, Wisconsin, known for its agricultural landscape and quiet countryside character.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fba7c10819095b1299b7b4f0310 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0adfc28819097a1bfd56739c286 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.