Triple

T3263713
Position Surface form Disambiguated ID Type / Status
Subject Fangshan Line E68472 entity
Predicate connectsWith P37 FINISHED
Object Line 14 E68684 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: Line 14 | Statement: [Fangshan Line, connectsWith, Line 14]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 14
Context triple: [Fangshan Line, connectsWith, Line 14]
  • A. Line 14
    Line 14 is a fully automated, high-capacity line of the Paris Métro known for its modern trains and role in relieving congestion on central routes.
  • B. Line 14
    Line 14 is a rapid transit line of the Shanghai Metro system that serves as one of the city's major east–west corridors.
  • C. Line 14 chosen
    Line 14 is a major rapid transit line of the Beijing Subway system that serves multiple key residential and commercial districts across the city.
  • D. Line 14
    Line 14 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving suburban and outlying districts with high-speed, longer-distance urban rail service.
  • E. Line 13
    Line 13 is a major rapid transit route in the Shanghai Metro system that serves key urban districts and supports heavy commuter traffic across the city.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafaa35e48190b894ca41dd65932b completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e83a7a508190afd5342c79f3da9d completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:09 p.m.