Triple

T10857295
Position Surface form Disambiguated ID Type / Status
Subject Waterfoot Primary School E256299 entity
Predicate hasName P744 FINISHED
Object Waterfoot Primary School E256299 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: Waterfoot Primary School | Statement: [Waterfoot Primary School, hasName, Waterfoot Primary School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Waterfoot Primary School
Context triple: [Waterfoot Primary School, hasName, Waterfoot Primary School]
  • A. Waterfoot Primary School chosen
    Waterfoot Primary School is a local primary education institution serving young children in the Waterfoot area.
  • B. Parkhill Primary School
    Parkhill Primary School is a local primary education institution serving the community of Leven in Fife, Scotland.
  • C. Walkern Primary School
    Walkern Primary School is a local primary education institution serving young children in the village of Walkern, Hertfordshire, England.
  • D. Baglan Primary School
    Baglan Primary School is a local primary education institution serving young children in the Baglan area of Wales.
  • E. Pathhead Primary School
    Pathhead Primary School is a local primary education institution serving young children in the village of Pathhead, Scotland.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751377da88190a7244bb9d6b0c2ec completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb197808c8190b1c80aeb2144a909 completed April 14, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:20 p.m.