Triple

T13383648
Position Surface form Disambiguated ID Type / Status
Subject Lobethal E319380 entity
Predicate hasNearbyTown P3883 FINISHED
Object Woodside E321596 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: Woodside | Statement: [Lobethal, hasNearbyTown, Woodside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woodside
Context triple: [Lobethal, hasNearbyTown, Woodside]
  • A. Woodside chosen
    Woodside is a small town in South Australia's Adelaide Hills region, known for its wineries, agriculture, and scenic rural setting.
  • B. Woodside
    Woodside is a major Long Island Rail Road station in Queens, New York City, serving as a key transfer point between commuter rail lines and the New York City Subway.
  • C. Woodside
    Woodside is a riverside district and ferry terminal on the Wirral Peninsula in England, serving as a key crossing point on the River Mersey opposite Liverpool.
  • D. Woodside
    Woodside is a locality or neighborhood within the town of Amersham in Buckinghamshire, England.
  • E. Woodside
    Woodside is a small, affluent town on the San Francisco Peninsula in California, known for its wooded rural character, large estates, and extensive network of nearby parks and open space preserves.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce80158819082156eaeaeda3bd8 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7268cf04c8190a35fd48ce81c149e completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:33 p.m.