Triple
T4508679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eagle (U.S. coin) |
E101995
|
entity |
| Predicate | fractionalDenomination |
P34176
|
FINISHED |
| Object | Half Eagle (5-dollar gold coin) |
—
|
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: Half Eagle (5-dollar gold coin) | Statement: [Eagle (U.S. coin), fractionalDenomination, Half Eagle (5-dollar gold coin)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fractionalDenomination Context triple: [Eagle (U.S. coin), fractionalDenomination, Half Eagle (5-dollar gold coin)]
-
A.
denomination
Indicates the specific religious or organizational branch, sect, or subgroup with which an entity is affiliated.
-
B.
minorDenomination
chosen
Indicates that one entity is a smaller or subordinate unit of currency or value in relation to another entity.
-
C.
fractionalUnitSymbol
Indicates the symbolic notation used to represent the fractional unit associated with a given quantity or measurement.
-
D.
coinDenomination
Indicates the specific monetary value assigned to a coin within a currency system.
-
E.
denominationType
Indicates the specific category or kind of denomination associated with an entity, such as its type within a broader classification of denominations.
- 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_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. |
Created at: March 20, 2026, 1:01 p.m.