Triple

T21674950
Position Surface form Disambiguated ID Type / Status
Subject Cairo Metro E534942 entity
Predicate hasStation P35 FINISHED
Object El Marg station
El Marg station is a northern terminus on Cairo Metro Line 1 serving the El Marg district in northeastern Cairo.
 E1496289 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: El Marg station | Statement: [Cairo Metro, hasStation, El Marg station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: El Marg station
Context triple: [Cairo Metro, hasStation, El Marg station]
  • A. Varela station
    Varela station is a stop on Buenos Aires’ Line E subway, serving passengers in the city’s southeastern neighborhoods.
  • B. Belen station
    Belen station is a commuter rail station in Belen, New Mexico, serving as a key stop on the New Mexico Rail Runner Express line.
  • C. La Aurora station
    La Aurora station is a terminal stop on Medellín’s mass transit system, serving as an endpoint for one of the Metro de Medellín lines.
  • D. Pío Nono station
    Pío Nono station is a lower terminal of Santiago’s historic funicular railway that provides access to San Cristóbal Hill in Chile.
  • E. J. Ruiz station
    J. Ruiz station is an elevated stop on Manila’s LRT Line 2 serving commuters in the San Juan area of Metro Manila, Philippines.
  • 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: El Marg station
Triple: [Cairo Metro, hasStation, El Marg station]
Generated description
El Marg station is a northern terminus on Cairo Metro Line 1 serving the El Marg district in northeastern Cairo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: El Marg station
Target entity description: El Marg station is a northern terminus on Cairo Metro Line 1 serving the El Marg district in northeastern Cairo.
  • A. Varela station
    Varela station is a stop on Buenos Aires’ Line E subway, serving passengers in the city’s southeastern neighborhoods.
  • B. Belen station
    Belen station is a commuter rail station in Belen, New Mexico, serving as a key stop on the New Mexico Rail Runner Express line.
  • C. La Aurora station
    La Aurora station is a terminal stop on Medellín’s mass transit system, serving as an endpoint for one of the Metro de Medellín lines.
  • D. Pío Nono station
    Pío Nono station is a lower terminal of Santiago’s historic funicular railway that provides access to San Cristóbal Hill in Chile.
  • E. J. Ruiz station
    J. Ruiz station is an elevated stop on Manila’s LRT Line 2 serving commuters in the San Juan area of Metro Manila, Philippines.
  • 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.