Triple
T20933055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sogdian wall painting |
E515514
|
entity |
| Predicate | foundAt |
P9687
|
FINISHED |
| Object | Afrasiab (Samarkand) |
—
|
NE NERFINISHED |
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: Afrasiab (Samarkand) | Statement: [Sogdian wall painting, foundAt, Afrasiab (Samarkand)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Afrasiab (Samarkand) Context triple: [Sogdian wall painting, foundAt, Afrasiab (Samarkand)]
-
A.
Samarkand
Samarkand is an ancient Silk Road city in present-day Uzbekistan renowned for its Timurid-era Islamic architecture and role as a major cultural and commercial center of Central Asia.
-
B.
Afrasiab
chosen
Afrasiab is a legendary Turanian king and formidable adversary of Iran in the Persian epic Shahnameh.
-
C.
Shahrisabz
Shahrisabz is a historic city in present-day Uzbekistan renowned as the birthplace of Timur (Tamerlane) and for its significant Timurid-era architectural monuments.
-
D.
Urganch
Urganch is a city in western Uzbekistan that serves as the administrative and economic center of the Khorezm Region.
-
E.
Urgench
Urgench is a city in western Uzbekistan that serves as the administrative center of Khorezm Region and a gateway to the historic city of Khiva.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f94e980c819083280a9c35af5930 |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:49 p.m.