Triple
T20940896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juma Mosque |
E515716
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Historic Centre of Khiva |
—
|
NE NERFINISHED |
How this triple was built (3 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: Historic Centre of Khiva | Statement: [Juma Mosque, partOf, Historic Centre of Khiva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Historic Centre of Khiva Context triple: [Juma Mosque, partOf, Historic Centre of Khiva]
-
A.
Old Town of Tashkent
The Old Town of Tashkent is the historic quarter of Uzbekistan’s capital, characterized by traditional mahallas, ancient mosques and madrasas, and a preserved Islamic architectural heritage.
-
B.
Kunya-Urgench archaeological site
The Kunya-Urgench archaeological site is a UNESCO-listed complex of medieval ruins in northern Turkmenistan that preserves the remains of the once-flourishing Silk Road city of Urgench, including mausoleums, minarets, and other monumental Islamic architecture.
-
C.
Tashkurgan Stone City
Tashkurgan Stone City is an ancient ruined fortress and Silk Road trading town in China’s Xinjiang region, notable for its stone-built walls and strategic location near the Pamir Plateau.
-
D.
Afrasiab Museum of Samarkand
The Afrasiab Museum of Samarkand is a historical and archaeological museum in Samarkand, Uzbekistan, renowned for its collection of artifacts and murals from the ancient city of Afrasiab.
-
E.
Bukhara Caravanserai
Bukhara Caravanserai is a historic inn and trading stop in Baku’s Old City (Icherisheher), reflecting the city’s role on the Silk Road and its traditional caravanserai architecture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Historic Centre of Khiva Target entity description: The Historic Centre of Khiva is a well-preserved walled oasis city in Uzbekistan, renowned as a UNESCO World Heritage Site for its intact medieval Islamic architecture, mosques, madrasas, and caravanserais.
-
A.
Old Town of Tashkent
The Old Town of Tashkent is the historic quarter of Uzbekistan’s capital, characterized by traditional mahallas, ancient mosques and madrasas, and a preserved Islamic architectural heritage.
-
B.
Kunya-Urgench archaeological site
The Kunya-Urgench archaeological site is a UNESCO-listed complex of medieval ruins in northern Turkmenistan that preserves the remains of the once-flourishing Silk Road city of Urgench, including mausoleums, minarets, and other monumental Islamic architecture.
-
C.
Tashkurgan Stone City
Tashkurgan Stone City is an ancient ruined fortress and Silk Road trading town in China’s Xinjiang region, notable for its stone-built walls and strategic location near the Pamir Plateau.
-
D.
Afrasiab Museum of Samarkand
The Afrasiab Museum of Samarkand is a historical and archaeological museum in Samarkand, Uzbekistan, renowned for its collection of artifacts and murals from the ancient city of Afrasiab.
-
E.
Bukhara Caravanserai
Bukhara Caravanserai is a historic inn and trading stop in Baku’s Old City (Icherisheher), reflecting the city’s role on the Silk Road and its traditional caravanserai architecture.
- F. None of above. chosen
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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f955f0148190ae42278ad5c0f363 |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:50 p.m.