Triple

T17741000
Position Surface form Disambiguated ID Type / Status
Subject River Girvan E442855 entity
Predicate hasSettlementOnBank P1010 FINISHED
Object Dailly NE NERFINISHED

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: Dailly | Statement: [River Girvan, hasSettlementOnBank, Dailly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dailly
Context triple: [River Girvan, hasSettlementOnBank, Dailly]
  • A. Dailly chosen
    Dailly is a small rural village in South Ayrshire, Scotland, historically associated with coal mining and situated in the Girvan Valley.
  • B. Old Dailly
    Old Dailly is a small rural village in South Ayrshire, Scotland, known for its historic church ruins and traditional countryside setting.
  • C. Daytin
    Daytin is an alternative spelling of the given name Dayton, typically used as a modern, stylistic variation.
  • D. Arlay
    Arlay is a historic locality in eastern France that served as the principal seat of the noble House of Chalon-Arlay.
  • E. Damsay
    Damsay is a small uninhabited island in the Orkney archipelago of Scotland, known for its low-lying terrain and archaeological remains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47acd780c8190b1308ef0aca00f5c completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.