Triple
T14098240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khan al-Khayyatin |
E339310
|
entity |
| Predicate | hasNameInArabic |
P6450
|
FINISHED |
| Object | خان الخياطين |
E339310
|
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: خان الخياطين | Statement: [Khan al-Khayyatin, hasNameInArabic, خان الخياطين]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: خان الخياطين Context triple: [Khan al-Khayyatin, hasNameInArabic, خان الخياطين]
-
A.
خان العمدان
خان العمدان هو خان تاريخي عثماني في مدينة عكّا يُعد من أبرز معالمها المعمارية والتجارية القديمة.
-
B.
Khan al-Khayyatin
chosen
Khan al-Khayyatin is a historic caravanserai and traditional marketplace in Tripoli, Lebanon, known for its tailors and textile shops.
-
C.
Khan al-Sultan
Khan al-Sultan is a historic caravanserai and commercial complex located in the Muslim Quarter of Jerusalem’s Old City.
-
D.
Sahr-i-Bahlol
Sahr-i-Bahlol is an ancient archaeological site in Pakistan renowned for its well-preserved remains of the Gandhara Buddhist civilization.
-
E.
Khan al-Saboun
Khan al-Saboun is a historic soap market and caravanserai in Tripoli, Lebanon, renowned for its traditional production and trade of olive oil–based soaps.
- 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_69de5fb926288190a7f0f50d1d585d76 |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0adfc28819097a1bfd56739c286 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.