Triple
T1159185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philadelphia, Pennsylvania |
E24455
|
entity |
| Predicate | mintOutputDestination |
P11667
|
FINISHED |
| Object | circulating coinage of the United States |
—
|
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: circulating coinage of the United States | Statement: [Philadelphia, Pennsylvania, mintOutputDestination, circulating coinage of the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mintOutputDestination Context triple: [Philadelphia, Pennsylvania, mintOutputDestination, circulating coinage of the United States]
-
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.
mintLocations
chosen
Indicates the locations where something is minted, such as coins, tokens, or other items produced through a minting process.
-
C.
disbursementOption
Indicates the method or arrangement by which funds are paid out or distributed.
-
D.
pegTargetCurrency
Indicates that one currency’s value is fixed or tightly linked to the value of a specified target currency.
-
E.
producedCoinType
Indicates that an entity (such as a mint or process) created or manufactured a specific type of coin.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcad47a08190895769611798f67f |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb525b648190adcb7a29256d3c41 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:45 p.m.