Triple

T21674935
Position Surface form Disambiguated ID Type / Status
Subject Cairo Metro E534942 entity
Predicate hasLine P35 FINISHED
Object Line 2
Line 2 is a major Cairo Metro route that runs roughly north–south, connecting key districts across the Egyptian capital and serving as one of the system’s primary commuter lines.
E1496286 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 2 | Statement: [Cairo Metro, hasLine, Line 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 2
Context triple: [Cairo Metro, hasLine, Line 2]
  • A. Line 2
    Line 2 is one of the main lines of the Santiago Metro in Chile, running in a generally north–south direction and serving several central and densely populated areas of the city.
  • B. Line 2
    Line 2 is a trolleybus route within Geneva’s public transport system that serves as one of the city’s main electric bus lines.
  • C. Line 2
    Line 2 is a rapid transit line of the Barcelona Metro system that serves several central and northern neighborhoods of the city.
  • D. Line 2
    Line 2 is a major circular line of the Seoul Metropolitan Subway system, known for being one of the busiest and most important routes in the network.
  • E. Line 2
    Line 2 is a major rapid transit route of the STC Metro system, serving key districts along one of the network’s primary corridors.
  • 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 2
Triple: [Cairo Metro, hasLine, Line 2]
Generated description
Line 2 is a major Cairo Metro route that runs roughly north–south, connecting key districts across the Egyptian capital and serving as one of the system’s primary commuter lines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line 2
Target entity description: Line 2 is a major Cairo Metro route that runs roughly north–south, connecting key districts across the Egyptian capital and serving as one of the system’s primary commuter lines.
  • A. Line 2
    Line 2 is a major rapid transit route of the STC Metro system, serving key districts along one of the network’s primary corridors.
  • B. Line 2
    Line 2 is a major east–west rapid transit route of the Nanjing Metro system in Nanjing, China, connecting key urban districts and transportation hubs.
  • C. Line 2
    Line 2 is one of the principal lines of the Mexico City Metro system, running across key central and western areas of the city and serving as a major high-capacity transit corridor.
  • D. Line 2
    Line 2 is a major route of the Tunis Metro light rail network, serving key districts within the Tunis metropolitan area.
  • E. Line 2
    Line 2 is a major rapid transit route of the Guangzhou Metro system that runs through key urban districts and serves as one of the network’s primary north–south corridors.
  • 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_6a0a1e1715b88190aee6109d2f6e5667 completed May 17, 2026, 7:59 p.m.
NEDg Description generation batch_6a0a1ebd2bbc819083021cbc5873bfed completed May 17, 2026, 8:02 p.m.
NED2 Entity disambiguation (via description) batch_6a0a1fa12dbc8190a263b12f75ef073b completed May 17, 2026, 8:05 p.m.
Created at: April 16, 2026, 6:41 p.m.