Triple

T21674952
Position Surface form Disambiguated ID Type / Status
Subject Cairo Metro E534942 entity
Predicate hasStation P35 FINISHED
Object Nasser station
Nasser station is an underground station on the Cairo Metro system serving central Cairo.
 E1499017 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: Nasser station | Statement: [Cairo Metro, hasStation, Nasser station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nasser station
Context triple: [Cairo Metro, hasStation, Nasser station]
  • A. Hadayek El Maadi station
    Hadayek El Maadi station is a Cairo Metro station serving the Hadayek El Maadi district in the Maadi area of Cairo, Egypt.
  • B. Sakanat El Maadi station
    Sakanat El Maadi station is a Cairo Metro station serving the Maadi district in southern Cairo, Egypt.
  • C. Mohamed Naguib Metro Station
    Mohamed Naguib Metro Station is a Cairo Metro station in central Cairo, Egypt, named in honor of Egypt’s first president, Mohamed Naguib.
  • D. Karama Metro Station
    Karama Metro Station is a rapid transit station in Dubai serving the Karama district on the city’s metro network.
  • E. Al Nahda Metro Station
    Al Nahda Metro Station is a passenger station on Dubai’s Green Line serving the Al Nahda area and nearby residential and commercial districts.
  • 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: Nasser station
Triple: [Cairo Metro, hasStation, Nasser station]
Generated description
Nasser station is an underground station on the Cairo Metro system serving central Cairo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nasser station
Target entity description: Nasser station is an underground station on the Cairo Metro system serving central Cairo.
  • A. Hadayek El Maadi station
    Hadayek El Maadi station is a Cairo Metro station serving the Hadayek El Maadi district in the Maadi area of Cairo, Egypt.
  • B. Sakanat El Maadi station
    Sakanat El Maadi station is a Cairo Metro station serving the Maadi district in southern Cairo, Egypt.
  • C. Mohamed Naguib Metro Station
    Mohamed Naguib Metro Station is a Cairo Metro station in central Cairo, Egypt, named in honor of Egypt’s first president, Mohamed Naguib.
  • D. Karama Metro Station
    Karama Metro Station is a rapid transit station in Dubai serving the Karama district on the city’s metro network.
  • E. Al Nahda Metro Station
    Al Nahda Metro Station is a passenger station on Dubai’s Green Line serving the Al Nahda area and nearby residential and commercial districts.
  • 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_6a0a2ec205108190836be37777c7befc completed May 17, 2026, 9:10 p.m.
NEDg Description generation batch_6a0a2f8815508190bba1c8887d70f1ef completed May 17, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_6a0a2fe468ac81908b591a086eade238 completed May 17, 2026, 9:15 p.m.
Created at: April 16, 2026, 6:41 p.m.