Triple
T15879102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akkō |
E385026
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Khan al-Umdan |
E456111
|
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: Khan al-Umdan | Statement: [Akkō, knownFor, Khan al-Umdan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khan al-Umdan Context triple: [Akkō, knownFor, Khan al-Umdan]
-
A.
Khan al-Umdan
chosen
Khan al-Umdan is a well-preserved 18th-century Ottoman caravanserai in the Old City of Akko, Israel, renowned for its arcaded courtyard and distinctive granite columns.
-
B.
Khan al-Khayyatin
Khan al-Khayyatin is a historic caravanserai and traditional marketplace in Tripoli, Lebanon, known for its tailors and textile shops.
-
C.
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.
-
D.
Al-Ha’ir
Al-Ha’ir is a town in the Riyadh region of Saudi Arabia known for its agricultural lands, historical significance, and location along the Wadi Hanifa valley.
-
E.
Umm al-Darda al-Kubra
Umm al-Darda al-Kubra was a prominent 7th-century Muslim jurist and hadith scholar of Damascus, renowned for her piety, legal expertise, and role as a respected female teacher of early Islamic scholars.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155ff96588190b8fca1c3bf4a39a2 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa9529ac48190993d1af234faea3b |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.