Triple
T17037840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bab az-Zahra |
E413366
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Bab az-Zahira |
E413366
|
NE FINISHED |
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 az-Zahira | Statement: [Bab az-Zahra, alsoKnownAs, Bab az-Zahira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bab az-Zahira Context triple: [Bab az-Zahra, alsoKnownAs, Bab az-Zahira]
-
A.
Bab az-Zahra
chosen
Bab az-Zahra is the Arabic name for Herod's Gate, one of the historic entrances to Jerusalem's Old City walls.
-
B.
Kasr Al Ainy
Kasr Al Ainy is a historic medical campus and hospital complex in Cairo that serves as the main site of Cairo University's Faculty of Medicine.
-
C.
al-Mansurah
Al-Mansurah is a historic city in Egypt’s Nile Delta, known for its strategic location and its role in medieval conflicts such as the Seventh Crusade.
-
D.
Dar El Makhzen
Dar El Makhzen is the historic royal palace complex in Meknes, Morocco, once serving as a principal residence of the Alaouite sultans.
-
E.
Bab as-Silsila
Bab as-Silsila is one of the historic gates leading into the Al-Aqsa Mosque compound in Jerusalem’s Old City.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f38b58819093af4054c3459726 |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b5b71f48190b6c865d57668b5d1 |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.