Triple

T1306786
Position Surface form Disambiguated ID Type / Status
Subject My Autobiography E27896 entity
Predicate aboutPlace P22090 FINISHED
Object Govan, Glasgow E60687 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: Govan, Glasgow | Statement: [My Autobiography, aboutPlace, Govan, Glasgow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Govan, Glasgow
Context triple: [My Autobiography, aboutPlace, Govan, Glasgow]
  • A. Govan chosen
    Govan is a historic district on the River Clyde in Glasgow, Scotland, traditionally known for its shipbuilding industry and working-class roots.
  • B. Coatbridge
    Coatbridge is a town in North Lanarkshire, Scotland, historically known for its heavy industry and ironworks during the 19th century.
  • C. Bishopston
    Bishopston is a coastal village in Swansea, Wales, known for its scenic location near the Gower Peninsula’s cliffs and beaches.
  • D. Cumbernauld
    Cumbernauld is a post-war new town in North Lanarkshire, Scotland, known for its modernist planning and distinctive, often-criticized town centre architecture.
  • E. Glasgow
    Glasgow is Scotland’s largest city, historically a major industrial and shipbuilding center, known for its rich cultural scene, distinctive architecture, and role as a key urban hub in the United Kingdom.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c1368038819089d1091cc43901a3 completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb308fdcc8190b33da42f16cd65dd completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:51 p.m.