Triple

T69457
Position Surface form Disambiguated ID Type / Status
Subject Central Lowlands of Scotland E1388 entity
Predicate contains P35 FINISHED
Object Dunfermline
Dunfermline is a historic Scottish town and former royal capital known for its medieval abbey and rich cultural heritage.
E27023 NE FINISHED

How this triple was built (4 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: Dunfermline | Statement: [Central Lowlands of Scotland, contains, Dunfermline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dunfermline
Context triple: [Central Lowlands of Scotland, contains, Dunfermline]
  • A. Dumfries
    Dumfries is a small historic town in Prince William County, Virginia, considered one of the oldest continuously chartered towns in the United States.
  • B. Kirkcaldy
    Kirkcaldy is a coastal town on the east coast of Scotland, known historically for its linoleum industry and as one of the largest settlements in Fife.
  • C. Falkirk
    Falkirk is a historic town in central Scotland known for landmarks such as the Falkirk Wheel and the nearby Antonine Wall.
  • D. Cupar
    Cupar is a historic market town in eastern Scotland that once served as the county town of Fife.
  • E. Stirling
    Stirling is a historic Scottish city known for its medieval castle, strategic location, and role in key battles such as Stirling Bridge and Bannockburn.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dunfermline
Triple: [Central Lowlands of Scotland, contains, Dunfermline]
Generated description
Dunfermline is a historic Scottish town and former royal capital known for its medieval abbey and rich cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dunfermline
Target entity description: Dunfermline is a historic Scottish town and former royal capital known for its medieval abbey and rich cultural heritage.
  • A. Dumfries
    Dumfries is a small historic town in Prince William County, Virginia, considered one of the oldest continuously chartered towns in the United States.
  • B. Kirkcaldy
    Kirkcaldy is a coastal town on the east coast of Scotland, known historically for its linoleum industry and as one of the largest settlements in Fife.
  • C. Falkirk
    Falkirk is a historic town in central Scotland known for landmarks such as the Falkirk Wheel and the nearby Antonine Wall.
  • D. Cupar
    Cupar is a historic market town in eastern Scotland that once served as the county town of Fife.
  • E. Stirling
    Stirling is a historic Scottish city known for its medieval castle, strategic location, and role in key battles such as Stirling Bridge and Bannockburn.
  • F. None of above. chosen

Provenance (5 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_69a24c06b3bc8190aa4ac89026115efc completed Feb. 28, 2026, 1:59 a.m.
NER Named-entity recognition batch_69a24f045d38819088f5f71e39fa1ee7 completed Feb. 28, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a332c400788190bb9beca3246bcf46 completed Feb. 28, 2026, 6:24 p.m.
NEDg Description generation batch_69a33361723c8190b2b9132658a8a5f5 completed Feb. 28, 2026, 6:26 p.m.
NED2 Entity disambiguation (via description) batch_69a33727fda08190a740222f5e279130 completed Feb. 28, 2026, 6:42 p.m.
Created at: Feb. 28, 2026, 2:03 a.m.