Triple
T584640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Antigua and Barbuda |
E15131
|
entity |
| Predicate | coinageDepiction |
P8603
|
FINISHED |
| Object | portrait of the monarch on some coins |
—
|
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: portrait of the monarch on some coins | Statement: [Queen of Antigua and Barbuda, coinageDepiction, portrait of the monarch on some coins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coinageDepiction Context triple: [Queen of Antigua and Barbuda, coinageDepiction, portrait of the monarch on some coins]
-
A.
obverseDepiction
chosen
Indicates that one entity is depicted on the obverse (front) side of another, such as the front face of a coin or medal.
-
B.
coinagePower
Indicates the authority or capacity of an entity to create, issue, or regulate currency or coinage.
-
C.
authorizedCoinMetal
Indicates that a particular metal is officially approved for use in minting a given coin.
-
D.
coinDenomination
Indicates the specific monetary value assigned to a coin within a currency system.
-
E.
denomination
Indicates the specific religious or organizational branch, sect, or subgroup with which an entity is affiliated.
- F. None of above.
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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b9874c88190bd1e08d4689ea124 |
completed | March 1, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69a494c9315c8190a773e8e00737d8a0 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.