Triple
T14096065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bab al-Asbat |
E339255
|
entity |
| Predicate | hasArabicName |
P6450
|
FINISHED |
| Object | باب الأسباط |
E339257
|
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: باب الأسباط | Statement: [Bab al-Asbat, hasArabicName, باب الأسباط]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: باب الأسباط Context triple: [Bab al-Asbat, hasArabicName, باب الأسباط]
-
A.
باب الأسباط
chosen
باب الأسباط هو أحد أبواب البلدة القديمة في القدس، يُعرف أيضًا بباب الأسباط أو باب الأسود ويُعد مدخلًا رئيسيًا من الجهة الشرقية قرب المسجد الأقصى.
-
B.
باب المندب
باب المندب هو مضيق بحري استراتيجي يربط بين البحر الأحمر وخليج عدن ويعد من أهم ممرات الملاحة العالمية.
-
C.
Appointment in Samarra
Appointment in Samarra is a 1934 novel by American writer John O'Hara that portrays the rapid self-destruction of a young Pennsylvania businessman amid the social tensions of small-town life.
-
D.
Um er-Rasas
Um er-Rasas is an archaeological site in central Jordan renowned for its extensive Roman, Byzantine, and early Islamic ruins, including well-preserved mosaic floors and church complexes.
-
E.
El Darb El Ahmar
El Darb El Ahmar is a historic district in central Cairo known for its dense concentration of Islamic monuments, traditional crafts, and centuries-old urban fabric.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fb7fb3c819083266dbe7e93aaff |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0ac02488190b2114eb63ec604c3 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.