Triple

T15028346
Position Surface form Disambiguated ID Type / Status
Subject Guyanese Creole E378273 entity
Predicate hasRegion P285 FINISHED
Object Georgetown E154266 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: Georgetown | Statement: [Guyanese Creole, hasRegion, Georgetown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georgetown
Context triple: [Guyanese Creole, hasRegion, Georgetown]
  • A. Georgetown
    Georgetown is a historic Gold Rush–era community in Northern California known for its preserved 19th-century character and role in the state's mining history.
  • B. Georgetown chosen
    Georgetown is the largest city and main port of Guyana, known for its colonial architecture, coastal location, and role as the country’s political and economic center.
  • C. Georgetown
    Georgetown is a rapidly growing city in Central Texas known for its historic downtown square, Victorian architecture, and proximity to Austin.
  • D. Georgetown
    Georgetown is a residential neighborhood in the southeastern part of Brooklyn, New York City, known for its suburban-style homes and relatively quiet streets.
  • E. Georgetown
    Georgetown is a small New England town in northeastern Massachusetts known for its suburban residential character and proximity to both coastal and rural areas.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e0e8c88190ac6f5786b4d4040f completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dd967588190821cf47e9734db21 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 2:58 a.m.