Triple
T6204179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cairo Metro Line 1 |
E138707
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object |
Dar El-Salam
Dar El-Salam is a station on Cairo's Metro network located in the Dar El-Salam district of southern Cairo.
|
E576654
|
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: Dar El-Salam | Statement: [Cairo Metro Line 1, servesStation, Dar El-Salam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dar El-Salam Context triple: [Cairo Metro Line 1, servesStation, Dar El-Salam]
-
A.
Dar El Salam
Dar El Salam is a town located in Egypt’s Sohag Governorate along the Nile in Upper Egypt.
-
B.
Dar Hussein
Dar Hussein is a historic palace in the Medina of Tunis, notable for its traditional Tunisian architecture and cultural significance.
-
C.
Sadd el-Ali
Sadd el-Ali is a massive embankment dam on the Nile River in southern Egypt, renowned for its role in controlling floods, providing hydroelectric power, and enabling year-round irrigation.
-
D.
Zahrat El-Ola
Zahrat El-Ola was a prominent Egyptian film actress known for her roles in classic mid-20th-century Arabic cinema.
-
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: Dar El-Salam Triple: [Cairo Metro Line 1, servesStation, Dar El-Salam]
Generated description
Dar El-Salam is a station on Cairo's Metro network located in the Dar El-Salam district of southern Cairo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dar El-Salam Target entity description: Dar El-Salam is a station on Cairo's Metro network located in the Dar El-Salam district of southern Cairo.
-
A.
Dar El Salam
Dar El Salam is a town located in Egypt’s Sohag Governorate along the Nile in Upper Egypt.
-
B.
Dar Hussein
Dar Hussein is a historic palace in the Medina of Tunis, notable for its traditional Tunisian architecture and cultural significance.
-
C.
Sadd el-Ali
Sadd el-Ali is a massive embankment dam on the Nile River in southern Egypt, renowned for its role in controlling floods, providing hydroelectric power, and enabling year-round irrigation.
-
D.
Zahrat El-Ola
Zahrat El-Ola was a prominent Egyptian film actress known for her roles in classic mid-20th-century Arabic cinema.
-
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_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_69c16f412d848190a8e78ad7822aa399 |
completed | March 23, 2026, 4:50 p.m. |
| NEDg | Description generation | batch_69c1e3029cbc8190bed9449ec60412c0 |
completed | March 24, 2026, 1:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1e42a4c848190bc3a9273d5a6e211 |
completed | March 24, 2026, 1:08 a.m. |
Created at: March 22, 2026, 4:20 p.m.