Triple

T19764989
Position Surface form Disambiguated ID Type / Status
Subject Chabacano E474729 entity
Predicate servedByLine P1293 FINISHED
Object Line 8
Line 8 is one of the lines of the Mexico City Metro system, running across the city and connecting multiple key stations including Chabacano.
 E108592 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 8 | Statement: [Chabacano, servedByLine, Line 8]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line 8
Context triple: [Chabacano, servedByLine, Line 8]
  • A. Line 8
    Line 8 is a rapid transit line of the Beijing Subway system that serves key central and northern districts of Beijing.
  • B. Line 8
    Line 8 is a line of the Mexico City Metro system that runs in a generally north–south direction, connecting key residential and commercial areas of the city.
  • C. Line 8
    Line 8 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving as one of the city's key urban rail corridors.
  • D. Line 8
    Line 8 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving as part of the city's expanding urban rail network.
  • E. Line 8
    Line 8 is a route of the Seoul Metropolitan Subway system that serves southeastern parts of Seoul and nearby areas.
  • 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 8
Triple: [Chabacano, servedByLine, Line 8]
Generated description
Line 8 is one of the lines of the Mexico City Metro system, running across the city and connecting multiple key stations including Chabacano.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Line 8
Target entity description: Line 8 is one of the lines of the Mexico City Metro system, running across the city and connecting multiple key stations including Chabacano.
  • A. Line 8 chosen
    Line 8 is a line of the Mexico City Metro system that runs in a generally north–south direction, connecting key residential and commercial areas of the city.
  • B. Line 8
    Line 8 is a route of Mexico City’s Metrobús bus rapid transit system, serving key corridors with dedicated lanes and station platforms.
  • C. Line 8
    Line 8 is a rapid transit line of the Hangzhou Metro system in Hangzhou, China, serving as part of the city's expanding urban rail network.
  • D. Line 8
    Line 8 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving as one of the city's key urban rail corridors.
  • E. Line 8
    Line 8 is a route of the Seoul Metropolitan Subway system that serves southeastern parts of Seoul and nearby areas.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653226af081909992ff5568bb54a5 completed April 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ccc015a8819092d086e2a0906132 completed May 16, 2026, 1:47 a.m.
NEDg Description generation batch_6a07ce282658819096ff374b1605146f completed May 16, 2026, 1:53 a.m.
NED2 Entity disambiguation (via description) batch_6a07cf0327408190be73a41d2663836a completed May 16, 2026, 1:57 a.m.
Created at: April 10, 2026, 1:48 p.m.