Triple
T2481288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cairo Governorate |
E55820
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
El Muski
El Muski is a historic, densely populated commercial district in central Cairo known for its traditional markets and bustling street life.
|
E271427
|
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 Muski | Statement: [Cairo Governorate, contains, El Muski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Muski Context triple: [Cairo Governorate, contains, El Muski]
-
A.
Sulmo
Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
-
B.
Mysen
Mysen is a small town in Indre Østfold municipality in southeastern Norway, known as a local commercial and transport hub on the Østfold railway line.
-
C.
Muscoy
Muscoy is an unincorporated community in San Bernardino County, California, known for its semi-rural character within the Inland Empire region.
-
D.
Gorely
Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
-
E.
Pike
Pike is an English surname of Old English origin, often associated with people who lived near a pointed hill or carried a pike as a weapon.
- 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 Muski Triple: [Cairo Governorate, contains, El Muski]
Generated description
El Muski is a historic, densely populated commercial district in central Cairo known for its traditional markets and bustling street life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: El Muski Target entity description: El Muski is a historic, densely populated commercial district in central Cairo known for its traditional markets and bustling street life.
-
A.
Sulmo
Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
-
B.
Mysen
Mysen is a small town in Indre Østfold municipality in southeastern Norway, known as a local commercial and transport hub on the Østfold railway line.
-
C.
Muscoy
Muscoy is an unincorporated community in San Bernardino County, California, known for its semi-rural character within the Inland Empire region.
-
D.
Gorely
Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
-
E.
Pike
Pike is an English surname of Old English origin, often associated with people who lived near a pointed hill or carried a pike as a weapon.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd161bf3c8190834502968180e9cf |
completed | March 7, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17b48d0881909442717d318a6f05 |
completed | March 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69af1c4909888190aa6bc4f9731a8c68 |
completed | March 9, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af1d2adea08190899d0dcd8d1c0bc7 |
completed | March 9, 2026, 7:19 p.m. |
Created at: March 6, 2026, 9:45 p.m.