Triple

T3236054
Position Surface form Disambiguated ID Type / Status
Subject Rhine–Main–Danube Canal E67857 entity
Predicate connects P390 FINISHED
Object Main E41131 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: Main | Statement: [Rhine–Main–Danube Canal, connects, Main]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Main
Context triple: [Rhine–Main–Danube Canal, connects, Main]
  • A. Main chosen
    The Main is a major river in Germany that flows through central regions including the state of Bavaria before joining the Rhine.
  • B. Main Tour
    Main Tour was the former primary professional snooker circuit that preceded and was later superseded by the World Snooker Tour.
  • C. Main Board
    The Main Board of the Shanghai Stock Exchange is its primary market segment where large, established companies list and trade their shares.
  • D. Main Market
    Main Market is the London Stock Exchange’s primary listing venue for large, established companies that meet the exchange’s highest regulatory and disclosure standards.
  • E. Bei Maejor
    Bei Maejor, also known as Maejor, is an American singer, songwriter, and record producer recognized for his work in R&B and hip-hop music.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaee05d34819095dbce4db6ac8613 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b277459d1081909766934ce6a56091 completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:08 p.m.