Triple
T4508646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trade dollar |
E101994
|
entity |
| Predicate | circulationInAsia |
P57078
|
FINISHED |
| Object | extensive use in China |
—
|
LITERAL 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: extensive use in China | Statement: [Trade dollar, circulationInAsia, extensive use in China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: circulationInAsia Context triple: [Trade dollar, circulationInAsia, extensive use in China]
-
A.
circulation
Indicates the movement or flow of something (such as information, materials, or currency) through a system, network, or among entities.
-
B.
circulationType
Indicates the manner or category of movement, distribution, or flow associated with the related entities.
-
C.
circulationRole
Indicates the role or function an entity has within a circulation process or system (e.g., how it participates in the movement or flow of something).
-
D.
circulationEra
Indicates the historical time period or era during which something (such as a currency, document, or item) was in active circulation or use.
-
E.
circulationStart
Indicates the point in time or event when the circulation or distribution of something (such as an item, resource, or document) begins.
- F. None of above. chosen
Provenance (4 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd570f9b1c8190b52ace855dbf6641 |
completed | March 20, 2026, 2:17 p.m. |
| PD | Predicate disambiguation | batch_69bd5218afb4819087c99e0a1f22e137 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b3e4c88190a7ade3d0ed0ab606 |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:01 p.m.