Triple
T16923658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Bank of Tajikistan |
E410508
|
entity |
| Predicate | usesCurrencyCode |
P188
|
FINISHED |
| Object | TJS |
E1196332
|
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: TJS | Statement: [National Bank of Tajikistan, usesCurrencyCode, TJS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TJS Context triple: [National Bank of Tajikistan, usesCurrencyCode, TJS]
-
A.
TJS
chosen
TJS is the official currency code for the Tajikistani somoni, the national currency of Tajikistan.
-
B.
TJSJ
TJSJ is the ICAO airport code for Luis Muñoz Marín International Airport, the main commercial airport serving San Juan, Puerto Rico.
-
C.
TJT
TJT is the time zone used in Tajikistan, corresponding to Tajikistan Time (UTC+5).
-
D.
tj
tj is the GitHub username of TJ Holowaychuk, a prolific open-source developer known for creating popular Node.js and Go tools and frameworks.
-
E.
TJP
TJP is the station code used to identify Tianjin Railway Station in China’s railway network.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdf06e8c81908028efef2faa6c6b |
completed | April 18, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfd5e17481909fc4303fcc1342bf |
completed | May 10, 2026, 6:35 p.m. |
Created at: April 10, 2026, 5:30 a.m.