Triple

T11870686
Position Surface form Disambiguated ID Type / Status
Subject Metro Line 9 E282398 entity
Predicate connectsWithLine P845 FINISHED
Object Line 1 unclear NED1 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 1 | Statement: [Metro Line 9, connectsWithLine, Line 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 1
Context triple: [Metro Line 9, connectsWithLine, Line 1]
  • A. Line 1
    Line 1 is a major rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving as one of the city's primary east–west corridors.
  • B. Line 1
    Line 1 is the oldest and one of the busiest lines of the Paris Métro, running primarily east–west through central Paris and serving many major landmarks.
  • C. Line 1
    Line 1 is the numerical designation commonly used for Ottawa’s Confederation Line, the city’s primary light rail transit route.
  • D. Line 1
    Line 1 is the first rapid transit line of the Santo Domingo Metro system, serving as a major north–south corridor through the Dominican Republic’s capital.
  • E. Line 1
    Line 1 is the first and primary rapid transit line of the Sofia Metro system in Bulgaria, connecting key residential districts with the city center and major transport hubs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be15fb2481908f514781ce2c617f completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281b0969c8190a8c0a01ca292cc84 completed April 29, 2026, 10:09 p.m.
Created at: April 8, 2026, 9:43 p.m.