Triple

T21674936
Position Surface form Disambiguated ID Type / Status
Subject Cairo Metro E534942 entity
Predicate hasLine P35 FINISHED
Object Line 3
Line 3 is a major Cairo Metro line that runs east–west across Greater Cairo, connecting key residential districts with central and western parts of the city.
E1498073 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 3 | Statement: [Cairo Metro, hasLine, Line 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 3
Context triple: [Cairo Metro, hasLine, Line 3]
  • A. Line 3
    Line 3 is a route of Mexico City’s Metrobús bus rapid transit system that serves key corridors with dedicated lanes and high-capacity articulated buses.
  • B. Line 3
    Line 3 is a major rapid transit route of the Guangzhou Metro system, known for its high passenger volume and key role in connecting central urban areas with the airport and suburban districts.
  • C. Line 3
    Line 3 is a future rapid transit route of the Seville Metro intended to extend and improve the city’s urban rail network.
  • D. Line 3
    Line 3 is a major line of the Saint Petersburg Metro system, serving as one of the city's primary rapid transit routes.
  • E. Line 3
    Line 3 is a rapid transit line of the Shijiazhuang Metro system in Shijiazhuang, Hebei, China.
  • 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 3
Triple: [Cairo Metro, hasLine, Line 3]
Generated description
Line 3 is a major Cairo Metro line that runs east–west across Greater Cairo, connecting key residential districts with central and western parts of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line 3
Target entity description: Line 3 is a major Cairo Metro line that runs east–west across Greater Cairo, connecting key residential districts with central and western parts of the city.
  • A. Line 3
    Line 3 is one of the main lines of the Paris Métro, running in an east–west direction across the city and serving several central districts.
  • B. Line 3
    Line 3 is a major north–south route of the Tehran Metro system, connecting key residential and commercial areas across the city.
  • C. Line 3
    Line 3 is a major line of the Moscow Metro system, known for serving central Moscow and connecting key residential and commercial districts.
  • D. Line 3
    Line 3 is a major north–south route of the Seoul Metropolitan Subway system, connecting key residential and commercial districts across the city and into surrounding areas.
  • E. Line 3
    Line 3 is a major rapid transit route of the STC Metro system, serving key districts along its corridor.
  • 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.