Triple
T6242354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cairo Metro Line 2 |
E139634
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object |
El Mounib
El Mounib is a district in Giza, Egypt, known for serving as a major southern transport hub on the Cairo Metro network.
|
E579796
|
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 Mounib | Statement: [Cairo Metro Line 2, terminus, El Mounib]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Mounib Context triple: [Cairo Metro Line 2, terminus, El Mounib]
-
A.
El Hajeb
El Hajeb is a town and provincial capital in northern Morocco, situated in the Fès-Meknès region.
-
B.
Mansour
Mansour is an Arabic surname commonly borne by individuals across the Middle East and North Africa, often associated with notable figures in politics, business, and the arts.
-
C.
Sahnun
Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
-
D.
Lakhdar
Lakhdar is an Arabic masculine given name most notably borne by Algerian diplomat Lakhdar Brahimi.
-
E.
Wad Madani
Wad Madani is a major city in east-central Sudan and the capital of Al Jazirah state, serving as an important commercial and agricultural hub along the Blue Nile.
- 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 Mounib Triple: [Cairo Metro Line 2, terminus, El Mounib]
Generated description
El Mounib is a district in Giza, Egypt, known for serving as a major southern transport hub on the Cairo Metro network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: El Mounib Target entity description: El Mounib is a district in Giza, Egypt, known for serving as a major southern transport hub on the Cairo Metro network.
-
A.
El Hajeb
El Hajeb is a town and provincial capital in northern Morocco, situated in the Fès-Meknès region.
-
B.
Mansour
Mansour is an Arabic surname commonly borne by individuals across the Middle East and North Africa, often associated with notable figures in politics, business, and the arts.
-
C.
Sahnun
Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
-
D.
Lakhdar
Lakhdar is an Arabic masculine given name most notably borne by Algerian diplomat Lakhdar Brahimi.
-
E.
Wad Madani
Wad Madani is a major city in east-central Sudan and the capital of Al Jazirah state, serving as an important commercial and agricultural hub along the Blue Nile.
- 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_69c008b1c5088190ae6de2555fc05ad8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0631933488190838b424ec0fc2155 |
completed | March 22, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c24406809c8190a827a52abce88ecc |
completed | March 24, 2026, 7:57 a.m. |
| NEDg | Description generation | batch_69c2a6663a4c8190b7fcac132640da50 |
completed | March 24, 2026, 2:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c2a6bc92948190ae4676d0e6e186fb |
completed | March 24, 2026, 2:59 p.m. |
Created at: March 22, 2026, 4:23 p.m.