Triple

T21674958
Position Surface form Disambiguated ID Type / Status
Subject Cairo Metro E534942 entity
Predicate hasStation P35 FINISHED
Object Abbassia station
Abbassia station is a Cairo Metro station serving the Abbassia district as part of the city's rapid transit network.
E1504377 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: Abbassia station | Statement: [Cairo Metro, hasStation, Abbassia station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abbassia station
Context triple: [Cairo Metro, hasStation, Abbassia station]
  • A. Nasser station
    Nasser station is an underground station on the Cairo Metro system serving central Cairo.
  • B. 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.
  • C. Salah Al Din Metro Station
    Salah Al Din Metro Station is a passenger station on Dubai’s Green Line serving the Deira area with access to nearby commercial and residential districts.
  • D. 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.
  • E. Tajrish Metro Station
    Tajrish Metro Station is a major northern terminus of Tehran’s metro network, serving as a key transit hub for commuters and visitors in the Tajrish area.
  • 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: Abbassia station
Triple: [Cairo Metro, hasStation, Abbassia station]
Generated description
Abbassia station is a Cairo Metro station serving the Abbassia district as part of the city's rapid transit network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Abbassia station
Target entity description: Abbassia station is a Cairo Metro station serving the Abbassia district as part of the city's rapid transit network.
  • A. Nasser station
    Nasser station is an underground station on the Cairo Metro system serving central Cairo.
  • B. 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.
  • C. Salah Al Din Metro Station
    Salah Al Din Metro Station is a passenger station on Dubai’s Green Line serving the Deira area with access to nearby commercial and residential districts.
  • D. 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.
  • E. Tajrish Metro Station
    Tajrish Metro Station is a major northern terminus of Tehran’s metro network, serving as a key transit hub for commuters and visitors in the Tajrish 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_6a0a4bb5805081909e68cbd61d123870 completed May 17, 2026, 11:13 p.m.
NEDg Description generation batch_6a0a4c131b648190941732379c8d59a7 completed May 17, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_6a0a4c6822888190beef01f049b91fac completed May 17, 2026, 11:16 p.m.
Created at: April 16, 2026, 6:41 p.m.