Triple
T18229469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assiut Airport |
E436504
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Assiut |
—
|
NE NERFINISHED |
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: Assiut | Statement: [Assiut Airport, serves, Assiut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Assiut Context triple: [Assiut Airport, serves, Assiut]
-
A.
Assiut
chosen
Assiut is a major city in Upper Egypt on the Nile River, serving as an important regional administrative, commercial, and transportation hub.
-
B.
Zagazig
Zagazig is a city in Egypt’s Nile Delta that serves as an important regional center for agriculture, education, and transportation.
-
C.
Mansoura
Mansoura is a town located within Algeria’s Ghardaïa Province, in the northern Sahara region.
-
D.
Mansoura
Mansoura is a major city in Egypt’s Nile Delta, serving as an important regional center for agriculture, commerce, and transportation.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4b1b2108190a5585bbfaf2d295b |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 10, 2026, 10:33 a.m.