Triple

T11893925
Position Surface form Disambiguated ID Type / Status
Subject Line 3–Red E282987 entity
Predicate connectsWith P37 FINISHED
Object Line 7–Ruby E293551 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 7–Ruby | Statement: [Line 3–Red, connectsWith, Line 7–Ruby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 7–Ruby
Context triple: [Line 3–Red, connectsWith, Line 7–Ruby]
  • A. Line 7-Rubi chosen
    Line 7-Rubi is a suburban commuter rail line in the São Paulo metropolitan area operated by CPTM, connecting central São Paulo with outlying municipalities along the Rubi corridor.
  • B. Line 7R
    Line 7R is a Culver CityBus rapid transit route serving key corridors in the Westside region of Los Angeles County.
  • C. Line 7
    Line 7 is a rapid transit route of the STC Metro system, serving as one of its numbered lines within the network.
  • D. Line 7
    Line 7 is a rapid transit line of the Guangzhou Metro system serving parts of Guangzhou and its surrounding areas.
  • E. Line 7
    Line 7 is a major rapid transit route of the Shanghai Metro that runs in a roughly north–south direction, connecting several key residential, commercial, and cultural areas 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd1172988190a2c13d37220f2f93 completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4180569ac81909137d56374e800c0 completed May 1, 2026, 3:03 a.m.
Created at: April 8, 2026, 9:44 p.m.