Triple

T21674938
Position Surface form Disambiguated ID Type / Status
Subject Cairo Metro E534942 entity
Predicate hasPlannedLine P86666 FINISHED
Object Line 5
Line 5 is a planned future line of the Cairo Metro network intended to expand urban rail coverage in Egypt’s capital.
E1498074 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: [Cairo Metro, hasPlannedLine, Line 5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 5
Context triple: [Cairo Metro, hasPlannedLine, Line 5]
  • A. 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.
  • B. Line 5
    Line 5 is a major east–west route of the Brussels Metro system, connecting key districts across the Belgian capital.
  • C. Line 5
    Line 5 is one of the routes of the Tunis Metro light rail network, serving passengers across part of the Tunis metropolitan area.
  • D. Line 5
    Line 5 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving as one of the city's key urban rail corridors.
  • E. 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.
  • 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: [Cairo Metro, hasPlannedLine, Line 5]
Generated description
Line 5 is a planned future line of the Cairo Metro network intended to expand urban rail coverage in Egypt’s capital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line 5
Target entity description: Line 5 is a planned future line of the Cairo Metro network intended to expand urban rail coverage in Egypt’s capital.
  • A. Line 5
    Line 5 is a planned rapid transit route of the Ho Chi Minh City Metro system intended to serve as part of the city’s future urban rail network.
  • B. Line 5
    Line 5 is a planned light rail transit line in Toronto’s Eglinton Avenue corridor that will form part of the city’s rapid transit network.
  • C. Line 5
    Line 5 is a major line of the Madrid Metro system known for connecting central Madrid with several eastern and western districts.
  • D. 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.
  • E. Line 5
    Line 5 is one of the routes of the Tunis Metro light rail network, serving passengers across part of the Tunis 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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a0ed5388190b8f1932fb3f11c6a completed April 27, 2026, 4:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a24a2ad04819091bb260ee4a56d84 completed May 17, 2026, 8:27 p.m.
NEDg Description generation batch_6a0a25f2e59c81909253c8a77302eab2 completed May 17, 2026, 8:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0a264ca5a88190b8a84c05a2cfb181 completed May 17, 2026, 8:34 p.m.
Created at: April 16, 2026, 6:41 p.m.