Triple
T3942133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uzbekistani soʻm |
E92057
|
entity |
| Predicate | currencyCode |
P208
|
FINISHED |
| Object |
UZS
UZS is the official currency code for the Uzbekistani soʻm, the national currency of Uzbekistan.
|
E401114
|
NE FINISHED |
How this triple was built (4 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: UZS | Statement: [Uzbekistani soʻm, currencyCode, UZS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UZS Context triple: [Uzbekistani soʻm, currencyCode, UZS]
-
A.
UZ
UZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Uzbekistan.
-
B.
UzK
UzK is the commonly used abbreviation for the University of Cologne, one of Germany’s largest and oldest universities.
-
C.
USZ
USZ is a major public teaching hospital in Zurich, Switzerland, affiliated with the University of Zurich and known for its advanced medical care and research.
-
D.
ZS
ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
-
E.
ZUE
ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: UZS Triple: [Uzbekistani soʻm, currencyCode, UZS]
Generated description
UZS is the official currency code for the Uzbekistani soʻm, the national currency of Uzbekistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UZS Target entity description: UZS is the official currency code for the Uzbekistani soʻm, the national currency of Uzbekistan.
-
A.
UZ
UZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Uzbekistan.
-
B.
UzK
UzK is the commonly used abbreviation for the University of Cologne, one of Germany’s largest and oldest universities.
-
C.
USZ
USZ is a major public teaching hospital in Zurich, Switzerland, affiliated with the University of Zurich and known for its advanced medical care and research.
-
D.
ZS
ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
-
E.
ZUE
ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
- F. None of above. chosen
Provenance (5 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedfdffc48190a93ecb6115b2db33 |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533912bf881909e5e5e9e4245edbf |
completed | March 14, 2026, 10:08 a.m. |
| NEDg | Description generation | batch_69b534343a4081909495add7f524cbd2 |
completed | March 14, 2026, 10:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b534931f188190a9428f1b81e524a4 |
completed | March 14, 2026, 10:12 a.m. |
Created at: March 9, 2026, 3:24 p.m.