Triple

T2853394
Position Surface form Disambiguated ID Type / Status
Subject Old Town of Edinburgh E63142 entity
Predicate hasPart P35 FINISHED
Object Lawnmarket E125104 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: Lawnmarket | Statement: [Old Town of Edinburgh, hasPart, Lawnmarket]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawnmarket
Context triple: [Old Town of Edinburgh, hasPart, Lawnmarket]
  • A. Lawnmarket, Edinburgh chosen
    Lawnmarket, Edinburgh is a historic street on the Royal Mile in Scotland’s capital, known for its traditional tenements, shops, and legal and civic buildings.
  • B. Smith’s Lawn
    Smith’s Lawn is a renowned polo ground located within Windsor Great Park in Berkshire, England.
  • C. Meriden Green
    Meriden Green is a central urban park and community gathering space in downtown Meriden, Connecticut, featuring open green areas, walking paths, and event venues.
  • D. Park Meadow
    Park Meadow is a scenic alpine meadow and popular hiking destination located within Oregon’s Three Sisters Wilderness.
  • E. Latham Lawn
    Latham Lawn is a prominent garden and outdoor space within Trinity Hall, Cambridge, often used for relaxation, events, and college gatherings.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf5f21348190a574fa86bc71c76f completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8e4e0b881908de5c4927609725e completed March 10, 2026, 9:48 a.m.
Created at: March 6, 2026, 10:02 p.m.