Triple

T12485330
Position Surface form Disambiguated ID Type / Status
Subject Plaza de Maipú station E298416 entity
Predicate line P1293 FINISHED
Object Line 5
Line 5 is one of the main lines of the Santiago Metro in Chile, running east–west across the city and serving key residential and commercial areas.
E61190 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 5 | Statement: [Plaza de Maipú station, line, Line 5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 5
Context triple: [Plaza de Maipú station, line, Line 5]
  • A. Line 5
    Line 5 is a rapid transit line of the Shanghai Metro system serving the southern suburbs of the city.
  • B. Line 5
    Line 5 is one of the main lines of the Paris Métro, running in a generally north–south direction and serving several key stations and neighborhoods across the city.
  • C. Line 5
    Line 5 is a major line of the Barcelona Metro rapid transit system, serving numerous key neighborhoods and transport hubs across the city.
  • D. Line 5
    Line 5 is a route of Mexico City’s Metrobús bus rapid transit system that serves key corridors with dedicated lanes and high-capacity articulated buses.
  • E. Line 5
    Line 5 is a major east–west route of the Brussels Metro system, connecting key districts across the Belgian capital.
  • 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 5
Triple: [Plaza de Maipú station, line, Line 5]
Generated description
Line 5 is one of the main lines of the Santiago Metro in Chile, running east–west across the city and serving key residential and commercial areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line 5
Target entity description: Line 5 is one of the main lines of the Santiago Metro in Chile, running east–west across the city and serving key residential and commercial areas.
  • A. Line 5 chosen
    Line 5 is one of the main lines of the Santiago Metro in Chile, running across several key districts and serving as a major east–west transit corridor in the city.
  • B. Line 5
    Line 5 is a major line of the Barcelona Metro rapid transit system, serving numerous key neighborhoods and transport hubs across the city.
  • C. Line 5
    Line 5 is one of the main lines of the Paris Métro, running in a generally north–south direction and serving several key stations and neighborhoods across the city.
  • D. Line 5
    Line 5 is a major north–south route of the Beijing Subway known for connecting key residential and commercial areas through the city center.
  • E. Line 5
    Line 5 is one of the main lines of the Saint Petersburg Metro system, forming part of the city’s rapid transit network.
  • F. None of above.

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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94ddf0b6c8190aff4fe267d8f6efe completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6556c8e4c8190aa7df1defb4cce78 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f656a6dafc81908acf59c0ba65189a completed May 2, 2026, 7:55 p.m.
NED2 Entity disambiguation (via description) batch_69f65b4d109c8190b48c71f664e7bb3f completed May 2, 2026, 8:15 p.m.
Created at: April 8, 2026, 9:56 p.m.