Triple

T14634150
Position Surface form Disambiguated ID Type / Status
Subject Xizhimen area E343556 entity
Predicate roadJunctionOf P6234 FINISHED
Object 3rd Ring Road E1110316 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: 3rd Ring Road | Statement: [Xizhimen area, roadJunctionOf, 3rd Ring Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 3rd Ring Road
Context triple: [Xizhimen area, roadJunctionOf, 3rd Ring Road]
  • A. 3rd Ring Road chosen
    The 3rd Ring Road is a major circular arterial highway encircling central Beijing, serving as a key corridor for urban traffic and connectivity.
  • 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. 5th Ring Road
    The 5th Ring Road is a major orbital expressway encircling Beijing that helps divert traffic from the city center and connect its outer districts.
  • D. 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.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4aa7cb48190b008bd6b0e162c89 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cdc54a881909d9ea43c26b9d5ef completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:26 a.m.