Triple

T9941656
Position Surface form Disambiguated ID Type / Status
Subject Stonehaven Harbour E194096 entity
Predicate adjacentTo P224 FINISHED
Object Stonehaven Old Town 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 Old Town | Statement: [Stonehaven Harbour, adjacentTo, Stonehaven Old Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stonehaven Old Town
Context triple: [Stonehaven Harbour, adjacentTo, Stonehaven Old Town]
  • 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. Stonehaven Harbour
    Stonehaven Harbour is a historic fishing and leisure port on Scotland’s northeast coast, known for its picturesque setting, stone piers, and role in the town’s maritime heritage.
  • C. Old Town
    Old Town is the historic medieval heart of Edinburgh, Scotland, known for its narrow closes, iconic Royal Mile, and well-preserved architecture.
  • D. Old Town
    Old Town is the historic city center of Chernivtsi, known for its preserved architecture, cobblestone streets, and cultural landmarks reflecting the city’s multiethnic past.
  • E. Old Town
    Old Town is the historic commercial and administrative center of Lilongwe, Malawi, known for its traditional markets, older architecture, and dense urban activity.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb610905c81909d669265c92021a5 completed April 2, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d5095e08190a34ff73ab7bcf8a6 completed April 5, 2026, 10:45 a.m.
Created at: March 30, 2026, 8:44 p.m.