Triple

T13152055
Position Surface form Disambiguated ID Type / Status
Subject John Reith E312489 entity
Predicate birthPlace P1 FINISHED
Object Stonehaven E29870 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: Stonehaven | Statement: [John Reith, birthPlace, Stonehaven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stonehaven
Context triple: [John Reith, birthPlace, Stonehaven]
  • A. Stonehaven chosen
    Stonehaven is a coastal town in Aberdeenshire, Scotland, known for its picturesque harbor, historic Dunnottar Castle nearby, and role as a gateway between the Highlands and Lowlands.
  • B. Sandhaven
    Sandhaven is a small coastal village in the Buchan area of Aberdeenshire, northeast Scotland, historically associated with fishing and maritime activity.
  • C. Seahaven
    Seahaven is the idyllic, meticulously controlled fictional town where the protagonist unknowingly lives inside a televised reality show in the film "The Truman Show."
  • D. Peacehaven
    Peacehaven is a coastal town on the English Channel in East Sussex, England, known for its cliff-top location and residential character.
  • E. Seatown
    Seatown is a coastal residential area forming part of the town of Lossiemouth in Moray, 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd317e0819086e383f8e4583630 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaeca00c8190aa5645d1084c7d60 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:11 p.m.