Triple

T9369144
Position Surface form Disambiguated ID Type / Status
Subject Maryhill E225484 entity
Predicate near P350 FINISHED
Object Anniesland
Anniesland is a district in the West End of Glasgow, Scotland, known for its residential character, transport links, and proximity to educational institutions.
E795077 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: Anniesland | Statement: [Maryhill, near, Anniesland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anniesland
Context triple: [Maryhill, near, Anniesland]
  • A. Castlerock
    Castlerock is a small seaside village and popular holiday resort on the north coast of Northern Ireland.
  • B. Craighouse
    Craighouse is the main village and administrative center on the Isle of Jura in Scotland, known for its harbor and whisky distillery.
  • C. Roseneath
    Roseneath is a small rural community in Ontario, Canada, known for its proximity to Rice Lake and its historic carousel.
  • D. Sandymoor
    Sandymoor is a residential suburb and civil parish in the Borough of Halton, Cheshire, England, known for its modern housing developments and proximity to Runcorn.
  • E. Druidston Haven
    Druidston Haven is a secluded sandy beach on the Pembrokeshire coast of southwest Wales, known for its dramatic cliffs, rock pools, and expansive tidal sands.
  • 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: Anniesland
Triple: [Maryhill, near, Anniesland]
Generated description
Anniesland is a district in the West End of Glasgow, Scotland, known for its residential character, transport links, and proximity to educational institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anniesland
Target entity description: Anniesland is a district in the West End of Glasgow, Scotland, known for its residential character, transport links, and proximity to educational institutions.
  • A. Castlerock
    Castlerock is a small seaside village and popular holiday resort on the north coast of Northern Ireland.
  • B. Craighouse
    Craighouse is the main village and administrative center on the Isle of Jura in Scotland, known for its harbor and whisky distillery.
  • C. Roseneath
    Roseneath is a small rural community in Ontario, Canada, known for its proximity to Rice Lake and its historic carousel.
  • D. Sandymoor
    Sandymoor is a residential suburb and civil parish in the Borough of Halton, Cheshire, England, known for its modern housing developments and proximity to Runcorn.
  • E. Druidston Haven
    Druidston Haven is a secluded sandy beach on the Pembrokeshire coast of southwest Wales, known for its dramatic cliffs, rock pools, and expansive tidal sands.
  • 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5080f55c8190bd5ca0dc0a4ea989 completed April 1, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f40961e88190b12ab78edbebd252 completed April 4, 2026, 11:20 a.m.
NEDg Description generation batch_69d0f49e229c8190a91452591aee2414 completed April 4, 2026, 11:23 a.m.
NED2 Entity disambiguation (via description) batch_69d0f71220588190b97d8fce942fbf50 completed April 4, 2026, 11:33 a.m.
Created at: March 30, 2026, 7:43 p.m.