Triple

T1387100
Position Surface form Disambiguated ID Type / Status
Subject Stonehaven E29870 entity
Predicate hasPostTown P2711 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: [Stonehaven, hasPostTown, STONEHAVEN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: STONEHAVEN
Context triple: [Stonehaven, hasPostTown, 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. Houthaven
    Houthaven is a former industrial harbor area in Amsterdam that has been redeveloped into a modern residential and mixed-use waterfront neighborhood.
  • C. Peacehaven
    Peacehaven is a coastal town on the English Channel in East Sussex, England, known for its cliff-top location and residential character.
  • D. Stormville
    Stormville is a small hamlet in the town of East Fishkill in Dutchess County, New York, known for its rural character and large flea market.
  • E. Harborland
    Harborland is a popular waterfront shopping and entertainment district in Kobe, Japan, known for its modern malls, restaurants, and scenic harbor views.
  • 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c33b6e108190b6b2bca4ddd97b6c completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace56bf6c48190839a9d01c935e4bf completed March 8, 2026, 2:56 a.m.
Created at: March 1, 2026, 7:59 p.m.