Triple

T69584
Position Surface form Disambiguated ID Type / Status
Subject Firth of Forth E1390 entity
Predicate hasPort P35 FINISHED
Object Grangemouth
Grangemouth is a major Scottish industrial town best known for its large petrochemical complex and one of the UK’s busiest container ports.
 E35492 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: Grangemouth | Statement: [Firth of Forth, hasPort, Grangemouth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grangemouth
Context triple: [Firth of Forth, hasPort, Grangemouth]
  • A. Greenock
    Greenock is a historic port town and former shipbuilding center on the River Clyde in western Scotland.
  • B. Motherwell
    Motherwell is a former industrial town in North Lanarkshire, Scotland, historically known as a major center of the steel industry.
  • C. 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.
  • D. Coatbridge
    Coatbridge is a town in North Lanarkshire, Scotland, historically known for its heavy industry and ironworks during the 19th century.
  • E. Falkirk
    Falkirk is a historic town in central Scotland known for landmarks such as the Falkirk Wheel and the nearby Antonine Wall.
  • 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: Grangemouth
Triple: [Firth of Forth, hasPort, Grangemouth]
Generated description
Grangemouth is a major Scottish industrial town best known for its large petrochemical complex and one of the UK’s busiest container ports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grangemouth
Target entity description: Grangemouth is a major Scottish industrial town best known for its large petrochemical complex and one of the UK’s busiest container ports.
  • A. Greenock
    Greenock is a historic port town and former shipbuilding center on the River Clyde in western Scotland.
  • B. Motherwell
    Motherwell is a former industrial town in North Lanarkshire, Scotland, historically known as a major center of the steel industry.
  • C. 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.
  • D. Coatbridge
    Coatbridge is a town in North Lanarkshire, Scotland, historically known for its heavy industry and ironworks during the 19th century.
  • E. Falkirk
    Falkirk is a historic town in central Scotland known for landmarks such as the Falkirk Wheel and the nearby Antonine Wall.
  • 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_69a38f4ad71881909f914571472c15fa completed March 1, 2026, 12:58 a.m.
NEDg Description generation batch_69a38fa022b88190938ab9a65a85ad2a completed March 1, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69a3901ce7f88190ab94662c43a6008b completed March 1, 2026, 1:02 a.m.
Created at: Feb. 28, 2026, 2:03 a.m.