Triple

T69460
Position Surface form Disambiguated ID Type / Status
Subject Central Lowlands of Scotland E1388 entity
Predicate contains P35 FINISHED
Object Greenock
Greenock is a historic port town and former shipbuilding center on the River Clyde in western Scotland.
E27634 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: Greenock | Statement: [Central Lowlands of Scotland, contains, Greenock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenock
Context triple: [Central Lowlands of Scotland, contains, Greenock]
  • A. Kilmarnock
    Kilmarnock is a large town in East Ayrshire, Scotland, historically known for its textile and engineering industries and its association with the poet Robert Burns.
  • 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. Dumfries
    Dumfries is a small historic town in Prince William County, Virginia, considered one of the oldest continuously chartered towns in the United States.
  • D. Motherwell
    Motherwell is a former industrial town in North Lanarkshire, Scotland, historically known as a major center of the steel industry.
  • E. Dundee
    Dundee is a coastal city in eastern Scotland known for its historic jute industry, maritime heritage, and contemporary cultural and design scene.
  • 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: Greenock
Triple: [Central Lowlands of Scotland, contains, Greenock]
Generated description
Greenock is a historic port town and former shipbuilding center on the River Clyde in western Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Greenock
Target entity description: Greenock is a historic port town and former shipbuilding center on the River Clyde in western Scotland.
  • A. Kilmarnock
    Kilmarnock is a large town in East Ayrshire, Scotland, historically known for its textile and engineering industries and its association with the poet Robert Burns.
  • 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. Dumfries
    Dumfries is a small historic town in Prince William County, Virginia, considered one of the oldest continuously chartered towns in the United States.
  • D. Motherwell
    Motherwell is a former industrial town in North Lanarkshire, Scotland, historically known as a major center of the steel industry.
  • E. Dundee
    Dundee is a coastal city in eastern Scotland known for its historic jute industry, maritime heritage, and contemporary cultural and design scene.
  • 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_69a34417410081909ea9d7c424224bc5 completed Feb. 28, 2026, 7:37 p.m.
NEDg Description generation batch_69a3449f4c348190bd3cb7dfcce5bcba completed Feb. 28, 2026, 7:40 p.m.
NED2 Entity disambiguation (via description) batch_69a344f80e9881908785f4b92566a4ae completed Feb. 28, 2026, 7:41 p.m.
Created at: Feb. 28, 2026, 2:03 a.m.