Triple

T2776320
Position Surface form Disambiguated ID Type / Status
Subject Connacht E61577 entity
Predicate hasCity P316 FINISHED
Object Galway E312527 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: Galway | Statement: [Connacht, hasCity, Galway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galway
Context triple: [Connacht, hasCity, Galway]
  • A. Galway
    Galway is a small rural town in Saratoga County, New York, known for its scenic countryside and close-knit community.
  • B. Galway chosen
    Galway is a vibrant coastal city in western Ireland known for its rich cultural heritage, lively arts and music scene, and historic medieval streets.
  • C. Cork
    Cork is a major county in the south of Ireland, known for its vibrant cultural heritage, extensive coastline, and the city of Cork, one of the country’s largest urban centers.
  • D. Sligo
    Sligo is a coastal town in northwest Ireland known for its literary associations with W.B. Yeats and its scenic landscapes of mountains, lakes, and Atlantic shoreline.
  • E. Cork city
    Cork city is a major port and the second-largest city in the Republic of Ireland, known for its rich maritime history, vibrant cultural scene, and role as the commercial and administrative center of County Cork.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd81015481908785fbef0326a2db completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b108c5319481909d3e1a237c3f661e completed March 11, 2026, 6:16 a.m.
Created at: March 6, 2026, 9:57 p.m.