Triple

T6443826
Position Surface form Disambiguated ID Type / Status
Subject Georgetown College E138290 entity
Predicate city P40 FINISHED
Object Georgetown unclear NED1 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: [Georgetown College, city, Georgetown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georgetown
Context triple: [Georgetown College, city, 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
    Georgetown is a historic and affluent Washington, D.C. neighborhood known for its cobblestone streets, waterfront, upscale shops, and Georgetown University.
  • 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 coastal town on the island of Saint Vincent in Saint Vincent and the Grenadines, known as one of the main settlements near the La Soufrière volcano.
  • E. Georgetown
    Georgetown is a suburban community within the town of Halton Hills in Ontario, Canada, known for its residential neighborhoods and small-town character within the Greater Toronto Area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0698c17ec81909f6bbcbe636a67fd completed March 22, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bc718dc8190b186d09a17562d26 completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:46 p.m.