Triple

T21674934
Position Surface form Disambiguated ID Type / Status
Subject Cairo Metro E534942 entity
Predicate hasLine P35 FINISHED
Object Line 1
Line 1 is the first and one of the main rapid transit lines of the Cairo Metro, connecting key districts across the Egyptian capital.
E1496285 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 1 | Statement: [Cairo Metro, hasLine, Line 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 1
Context triple: [Cairo Metro, hasLine, Line 1]
  • A. Line 1
    Line 1 is a major rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving as one of the city's primary east–west corridors.
  • B. Line 1
    Line 1 is the oldest and one of the busiest lines of the Paris Métro, running primarily east–west through central Paris and serving many major landmarks.
  • C. Line 1
    Line 1 is the numerical designation commonly used for Ottawa’s Confederation Line, the city’s primary light rail transit route.
  • D. Line 1
    Line 1 is the first rapid transit line of the Santo Domingo Metro system, serving as a major north–south corridor through the Dominican Republic’s capital.
  • E. Line 1
    Line 1 is the first and primary rapid transit line of the Sofia Metro system in Bulgaria, connecting key residential districts with the city center and major transport hubs.
  • 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 1
Triple: [Cairo Metro, hasLine, Line 1]
Generated description
Line 1 is the first and one of the main rapid transit lines of the Cairo Metro, connecting key districts across the Egyptian capital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Line 1
Target entity description: Line 1 is the first and one of the main rapid transit lines of the Cairo Metro, connecting key districts across the Egyptian capital.
  • A. Line 1
    Line 1 is the first and one of the main rapid transit lines of the Nanjing Metro system in Nanjing, China, connecting key urban areas along a north–south corridor.
  • B. Line 1
    Line 1 is the first planned rapid transit line of the Ho Chi Minh City Metro, intended to connect central districts with outlying areas as part of the city’s developing urban rail network.
  • C. Line 1
    Line 1 is the first and main rapid transit line of the Seville Metro system in Seville, Spain, connecting key districts across the metropolitan area.
  • D. Line 1
    Line 1 is the first and primary rapid transit line of the Sofia Metro system in Bulgaria, connecting key residential districts with the city center and major transport hubs.
  • E. Line 1
    Line 1 is a principal light rail route of the Tunis Metro system, serving key districts within 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_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.