Triple
T19388251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Uzbekistan |
E484990
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Urgench |
—
|
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: Urgench | Statement: [Western Uzbekistan, majorCity, Urgench]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urgench Context triple: [Western Uzbekistan, majorCity, Urgench]
-
A.
Urgench
chosen
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.
-
B.
Derbent
Derbent is a small rural district and town in Turkey’s Konya Province, known for its highland landscapes and agricultural character.
-
C.
Derbent
Derbent is an ancient fortified city in the Republic of Dagestan, Russia, strategically located on the Caspian Sea and known as one of the oldest continuously inhabited cities in the region.
-
D.
Panjikent
Panjikent was an important ancient Sogdian city in present-day Tajikistan, known for its well-preserved wall paintings and role as a Silk Road trading center.
-
E.
Dashoguz
Dashoguz is a prominent city in northern Turkmenistan, serving as a regional administrative and economic center near the border with Uzbekistan.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b425e848190ab5ae8ae0a034fe2 |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 10, 2026, 1:36 p.m.