Triple

T21253962
Position Surface form Disambiguated ID Type / Status
Subject Alte Brücke (Frankfurt am Main) E523816 entity
Predicate crosses P416 FINISHED
Object River Main — NE NERFINISHED

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: River Main | Statement: [Alte Brücke (Frankfurt am Main), crosses, River Main]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: River Main
Context triple: [Alte Brücke (Frankfurt am Main), crosses, River Main]
  • A. River Main chosen
    The River Main is a major waterway in central Germany that flows through cities such as Frankfurt before joining the Rhine.
  • B. River Main
    River Main is a river in Northern Ireland that flows through County Antrim and joins the River Braid before eventually reaching the sea via Lough Neagh and the Lower Bann.
  • C. Spring River
    Spring River is a tributary of the Arkansas River that flows through parts of Kansas, Missouri, and Oklahoma in the central United States.
  • D. You River
    The You River is a tributary waterway in southern China that feeds into the larger Yuan River system.
  • E. Train River
    The Train River is a smaller watercourse in Belgium that serves as a tributary within the Dyle River basin.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735a0391881908e45909e939415a5 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:57 p.m.