Triple

T6118833
Position Surface form Disambiguated ID Type / Status
Subject Lagan Weir E136429 entity
Predicate connects P390 FINISHED
Object Queen’s Quay area E314305 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: Queen’s Quay area | Statement: [Lagan Weir, connects, Queen’s Quay area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queen’s Quay area
Context triple: [Lagan Weir, connects, Queen’s Quay area]
  • A. Queen’s Quay area chosen
    The Queen’s Quay area is a redeveloped waterfront district in Belfast city centre featuring modern mixed-use spaces along the River Lagan.
  • B. Quartier des Spectacles
    Quartier des Spectacles is Montreal’s premier cultural and entertainment district, known for hosting major festivals, performances, and public art events.
  • C. Harbourfront area
    The Harbourfront area in Kenora is a popular waterfront district known for its scenic views, public events, and recreational access to Lake of the Woods.
  • D. Canal District
    The Canal District is a revitalized historic neighborhood in Worcester, Massachusetts, known for its mix of old industrial buildings, new developments, and vibrant dining and entertainment options.
  • E. Quartier Part-Dieu
    Quartier Part-Dieu is Lyon’s main business district, known for its high-rise offices, major shopping center, and one of France’s busiest railway stations.
  • 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bee12488190ab217e8956f2f1f3 completed March 22, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1257153748190947cd80589620f12 completed March 23, 2026, 11:35 a.m.
Created at: March 22, 2026, 4:14 p.m.