Triple

T14766970
Position Surface form Disambiguated ID Type / Status
Subject Olympic Forest Park E347020 entity
Predicate separatedBy P1175 FINISHED
Object Fifth Ring Road E1114608 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: Fifth Ring Road | Statement: [Olympic Forest Park, separatedBy, Fifth Ring Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fifth Ring Road
Context triple: [Olympic Forest Park, separatedBy, Fifth Ring Road]
  • A. 5th Ring Road chosen
    The 5th Ring Road is a major orbital expressway encircling Beijing that helps divert traffic from the city center and connect its outer districts.
  • B. 4th Ring Road
    The 4th Ring Road is a major orbital expressway encircling central Beijing, helping to distribute traffic and connect key districts and highways around the city.
  • C. 6th Ring Road
    The 6th Ring Road is a major expressway encircling the outer suburbs of Beijing, serving as a key route for bypassing the city center and connecting peripheral districts and highways.
  • D. 3rd Ring Road
    The 3rd Ring Road is a major circular arterial highway encircling central Beijing, serving as a key corridor for urban traffic and connectivity.
  • E. Third Ring Road
    The Third Ring Road is a major orbital highway encircling central Moscow, serving as a key artery for urban traffic and connecting numerous radial avenues.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f576c881909da70627f5897c94 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64f0d948819080cc759ca599503d completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:30 a.m.