Triple

T8525289
Position Surface form Disambiguated ID Type / Status
Subject River Trothy E201798 entity
Predicate flowsThrough P225 FINISHED
Object Monmouth E28326 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: Monmouth | Statement: [River Trothy, flowsThrough, Monmouth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monmouth
Context triple: [River Trothy, flowsThrough, Monmouth]
  • A. Monmouth chosen
    Monmouth is a historic market town in Monmouthshire, Wales, known for its medieval architecture and position near the English border.
  • B. Monmouth
    Monmouth is a small city in Polk County, Oregon, best known as the home of Western Oregon University.
  • C. Mendham
    Mendham is a village and civil parish located in the county of Suffolk in eastern England.
  • D. Sussex County
    Sussex County is a county in the southern part of the U.S. state of Delaware, known for its coastal resorts, agriculture, and historic towns.
  • E. Essex County
    Essex County is a southwestern Ontario region bordering Lake Erie that includes the southernmost point of mainland Canada and encompasses Point Pelee National Park.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe644c4648190a14dcaeaa90d72c7 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e9219108190979430a4308fc4c5 completed April 2, 2026, 11:10 a.m.
Created at: March 30, 2026, 6:16 p.m.