Triple
T2998144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States quarter dollar coin |
E81119
|
entity |
| Predicate | changedToClad |
P44918
|
FINISHED |
| Object | 1965 |
—
|
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: 1965 | Statement: [United States quarter dollar coin, changedToClad, 1965]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: changedToClad Context triple: [United States quarter dollar coin, changedToClad, 1965]
-
A.
changedNameIn
Indicates that an entity has altered or adopted a different name within a specific context, time period, or jurisdiction.
-
B.
decorChangedBy
Indicates that a change in decor or visual appearance was caused or brought about by a specific entity or action.
-
C.
changeType
Indicates the specific kind or category of modification that has occurred to an entity or relationship.
-
D.
placedBy
Indicates that one entity was positioned, set, or put in a location or context by another entity.
-
E.
changesEvery
Indicates that one entity undergoes a change whenever or each time another specified condition, event, or entity changes.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f766408190a5591efce8346bb9 |
completed | March 8, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69ad9615fefc8190ad96da92519cb7a3 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97ba55dc8190b6dddddfb751cf64 |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 8, 2026, 2:59 p.m.