Triple
T21706095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bab Zuweila |
E535774
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Bab Zuwayla |
—
|
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: Bab Zuwayla | Statement: [Bab Zuweila, alternativeName, Bab Zuwayla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bab Zuwayla Context triple: [Bab Zuweila, alternativeName, Bab Zuwayla]
-
A.
Bab Zuweila
chosen
Bab Zuweila is a historic medieval gate in Cairo, Egypt, renowned as one of the remaining entrances to the old city and a prominent example of Islamic architecture.
-
B.
Ain al-Basha
Ain al-Basha is a town in central Jordan that serves as a significant urban and commercial center within the Balqa Governorate.
-
C.
Kafr El Zayat
Kafr El Zayat is an industrial and agricultural city in Egypt’s Nile Delta, known for its chemical and fertilizer factories and its location along the Rosetta branch of the Nile.
-
D.
Dar el-Batha
Dar el-Batha is a former royal palace in Fez, Morocco, now serving as a museum renowned for its collection of traditional Moroccan arts and crafts.
-
E.
Ain El Mreisseh
Ain El Mreisseh is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade, hotels, and proximity to the city’s central districts.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb52f64c48190b5d59561999e922f |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:46 p.m.