Triple

T4923468
Position Surface form Disambiguated ID Type / Status
Subject Senior TT E110519 entity
Predicate passesThrough P225 FINISHED
Object Ramsey E110464 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: Ramsey | Statement: [Senior TT, passesThrough, Ramsey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramsey
Context triple: [Senior TT, passesThrough, Ramsey]
  • A. Ramsey
    Ramsey is a surname of English and Scottish origin borne by various notable individuals across fields such as science, politics, and the arts.
  • B. Ramsey chosen
    Ramsey is a coastal town in the north of the Isle of Man, known as one of the island’s main population centers and a local commercial and transport hub.
  • C. Ramsey
    Ramsey is a brilliant hacker and tech expert in the Fast & Furious film series, known for creating the powerful surveillance program "God's Eye."
  • D. Ramsey
    Ramsey is a historic market town in the English county of Cambridgeshire, known for its medieval abbey and rural surroundings.
  • E. Gresham
    Gresham is a suburban city in the Portland metropolitan area of northwestern Oregon, known for its residential communities and proximity to outdoor recreation in the Columbia River Gorge.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ffd46748190843fed99f02fd8d5 completed March 20, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77a6e1648190921487e3d81441b3 completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:30 p.m.