Triple

T11032946
Position Surface form Disambiguated ID Type / Status
Subject Loushanguan Road E260802 entity
Predicate intersectsWith P13379 FINISHED
Object Tianshan Road E262219 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: Tianshan Road | Statement: [Loushanguan Road, intersectsWith, Tianshan Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tianshan Road
Context triple: [Loushanguan Road, intersectsWith, Tianshan Road]
  • A. Tianshan Road chosen
    Tianshan Road is a major commercial and residential street in Shanghai, China, known for its shops, offices, and urban amenities.
  • B. Hailun Road
    Hailun Road is a Shanghai Metro interchange station located in Hongkou District, serving as a stop on multiple urban rail lines.
  • C. Changle Road
    Changle Road is a historic, tree-lined street in Shanghai known for its European-style architecture, boutiques, and cafés dating back to the city’s colonial era.
  • D. Yishan Road
    Yishan Road is a Shanghai Metro interchange station serving multiple lines in the Xuhui District of Shanghai, China.
  • E. Hangzhong Road
    Hangzhong Road is a Shanghai Metro station that serves as a terminus on a branch of Line 10 in Shanghai, China.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797e650b48190967c53f54e3464ad completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8372fac81908c68219b89ba45c1 completed April 18, 2026, 6:06 p.m.
Created at: April 8, 2026, 9:25 p.m.