Triple
T6204199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cairo Metro Line 1 |
E138707
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object | El-Matareyya |
E53378
|
NE FINISHED |
How this triple was built (2 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-Matareyya | Statement: [Cairo Metro Line 1, servesStation, El-Matareyya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El-Matareyya Context triple: [Cairo Metro Line 1, servesStation, El-Matareyya]
-
A.
El-Bahnasa
El-Bahnasa is a modern Egyptian town in Minya Governorate best known as the site of ancient Oxyrhynchus, a major Greco-Roman city famed for its papyrus discoveries.
-
B.
Itjtawy
Itjtawy was the royal residence and administrative capital established by the 12th Dynasty pharaohs during Egypt’s Middle Kingdom.
-
C.
Zahrat El-Ola
Zahrat El-Ola was a prominent Egyptian film actress known for her roles in classic mid-20th-century Arabic cinema.
-
D.
Shubra El Kheima
chosen
Shubra El Kheima is a major industrial and residential city in Egypt that forms part of the northern extent of the Greater Cairo metropolitan area.
-
E.
Ain Sokhna
Ain Sokhna is a popular Egyptian Red Sea resort town known for its beaches, proximity to Cairo, and role as a growing industrial and port area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0626c23f481909d2b5b0a75c2ffff |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c243da922c819080d8d37adbb5635e |
completed | March 24, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:20 p.m.