Triple

T763721
Position Surface form Disambiguated ID Type / Status
Subject A92 road E16127 entity
Predicate connects P390 FINISHED
Object Stonehaven E29870 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: Stonehaven | Statement: [A92 road, connects, Stonehaven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stonehaven
Context triple: [A92 road, connects, Stonehaven]
  • A. Stonehaven chosen
    Stonehaven is a coastal town in Aberdeenshire, Scotland, known for its picturesque harbor, historic Dunnottar Castle nearby, and role as a gateway between the Highlands and Lowlands.
  • B. Nightcliff
    Nightcliff is a coastal suburb of Darwin in Australia's Northern Territory, known for its scenic foreshore, jetty, and relaxed residential atmosphere.
  • C. Bonnievale
    Bonnievale is a small rural town in South Africa’s Western Cape, known for its wine and fruit farming along the Breede River.
  • D. East Sands
    East Sands is a popular sandy beach in St Andrews, Scotland, known for its scenic views, coastal walks, and water sports.
  • E. Harborland
    Harborland is a popular waterfront shopping and entertainment district in Kobe, Japan, known for its modern malls, restaurants, and scenic harbor views.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a69c8c448190a036a04fd8fdd2c2 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6891da56c8190965745d6ca13c75b completed March 3, 2026, 7:09 a.m.
Created at: March 1, 2026, 7:37 p.m.