Triple
T4297206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siscia |
E99742
|
entity |
| Predicate | mintProduced |
P17362
|
FINISHED |
| Object | Roman 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: Roman coins | Statement: [Siscia, mintProduced, Roman coins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mintProduced Context triple: [Siscia, mintProduced, Roman coins]
-
A.
mint
Indicates the act of creating or issuing something new, typically in an official or authoritative capacity (such as producing new currency or tokens).
-
B.
mintedAt
Indicates the specific time or block at which a digital asset or token was created (minted) on a blockchain.
-
C.
coinsProduced
Indicates that a particular entity (such as a mint or authority) has produced or issued a specified set or quantity of coins.
-
D.
producedCoinType
chosen
Indicates that an entity (such as a mint or process) created or manufactured a specific type of coin.
-
E.
minedSince
Indicates that a resource or material has been extracted from a location continuously starting from a specified point in time.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3509aebd48190af38f2e37f07869a |
completed | March 12, 2026, 11:47 p.m. |
| PD | Predicate disambiguation | batch_69b347fe55a88190b77bab0c0f38e1aa |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:08 p.m.