Triple
T33938178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaykhatu |
E870089
|
entity |
| Predicate | paperMoneyInspiredBy |
P177941
|
FINISHED |
| Object | Yuan dynasty paper currency |
—
|
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: Yuan dynasty paper currency | Statement: [Gaykhatu, paperMoneyInspiredBy, Yuan dynasty paper currency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paperMoneyInspiredBy Context triple: [Gaykhatu, paperMoneyInspiredBy, Yuan dynasty paper currency]
-
A.
depictedOnCurrencyOf
Indicates that one entity is visually represented or featured on the currency issued by another entity.
-
B.
denominationDepicted
Indicates that an item visually represents or shows the monetary denomination (value) of a currency.
-
C.
hasScriptOnBanknotes
Indicates that a currency’s banknotes contain written or printed script on them.
-
D.
banknoteDesignTheme
Indicates the thematic subject or concept depicted in the design of a banknote.
-
E.
hadBanknotes
Indicates that an entity possessed or was in ownership of one or more banknotes at a given time.
- 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_69f3499a59788190bff762a891471b31 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f7064d37388190993b2a7305a02b9f |
completed | May 3, 2026, 8:24 a.m. |
Created at: May 1, 2026, 1:49 a.m.