Triple

T13143938
Position Surface form Disambiguated ID Type / Status
Subject Biotrén E312286 entity
Predicate hasLine P35 FINISHED
Object Line 1
Line 1 is a commuter rail line of the Biotrén system serving the Greater Concepción area in Chile.
E1026135 NE FINISHED

How this triple was built (4 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: [Biotrén, hasLine, Line 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 1
Context triple: [Biotrén, hasLine, 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Line 1
Triple: [Biotrén, hasLine, Line 1]
Generated description
Line 1 is a commuter rail line of the Biotrén system serving the Greater Concepción area in Chile.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line 1
Target entity description: Line 1 is a commuter rail line of the Biotrén system serving the Greater Concepción area in Chile.
  • A. Line 1
    Line 1 is the oldest and one of the busiest lines of the Santiago Metro, running primarily east–west across central Santiago, Chile.
  • B. Line 1
    Line 1 is the inaugural corridor of the Mexico City Metrobús bus rapid transit system, serving as a major north–south transit route in the city.
  • C. Line 1
    Line 1 is the first and one of the main rapid transit lines of the Nanjing Metro system in Nanjing, China, connecting key urban areas along a north–south corridor.
  • D. Line 1
    Line 1 is a principal light rail route of the Tunis Metro system, serving key districts within the Tunis metropolitan area.
  • E. Line 1
    Line 1 is a major line of the Seoul Metropolitan Subway system, serving as one of its oldest and busiest commuter rail corridors across the Seoul metropolitan area.
  • F. None of above. chosen

Provenance (5 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bce3678819082a7aa1d83f20592 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5d809948190aced5ce377402463 completed May 3, 2026, 7:14 a.m.
NEDg Description generation batch_69f6f6e10f2481909b405169dd7e5cf9 completed May 3, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6f73b301881909d792dfebd2e468f completed May 3, 2026, 7:20 a.m.
Created at: April 9, 2026, 9:10 p.m.