Triple

T11499509
Position Surface form Disambiguated ID Type / Status
Subject Granton Harbour E272626 entity
Predicate locatedIn P40 FINISHED
Object Granton E55248 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: Granton | Statement: [Granton Harbour, locatedIn, Granton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Granton
Context triple: [Granton Harbour, locatedIn, Granton]
  • A. Granton chosen
    Granton is a coastal district in the north of Edinburgh, Scotland, historically associated with its harbour and maritime industry.
  • B. International Falls
    International Falls is a small northern Minnesota city on the U.S.–Canada border, known for its extremely cold winters and nickname “Icebox of the Nation.”
  • C. St. Marys
    St. Marys is a small city in north-central Pennsylvania known historically for its German Catholic heritage and manufacturing industries.
  • D. St. Marys
    St. Marys is a small city in western Ohio known for its historical ties to the Miami and Erie Canal and its location near Grand Lake St. Marys.
  • E. Lake City
    Lake City is a nickname for Lake Charles, a city in southwestern Louisiana known for its petrochemical industry, casinos, and proximity to the Gulf Coast.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de3e9c881909d6c55334f7a832d completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e604aa9e3c8190ad86e4d05a67c8ac completed April 20, 2026, 10:49 a.m.
Created at: April 8, 2026, 9:36 p.m.