Triple
T16586807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kennedy half dollar |
E402979
|
entity |
| Predicate | metalChange |
P25132
|
FINISHED |
| Object | silver to clad composition after 1970 for circulation issues |
—
|
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: silver to clad composition after 1970 for circulation issues | Statement: [Kennedy half dollar, metalChange, silver to clad composition after 1970 for circulation issues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metalChange Context triple: [Kennedy half dollar, metalChange, silver to clad composition after 1970 for circulation issues]
-
A.
metalColor
Indicates the color attribute associated specifically with a metal or metallic material.
-
B.
metalColorRepresents
Indicates that a specific metal color is used to symbolize or stand for a particular meaning, attribute, or category.
-
C.
associatedMetal
Indicates a relationship where one entity is linked or connected to a particular metal, such as by composition, usage, origin, or symbolic association.
-
D.
metalComparedWith
Indicates a comparison being made between two metals in terms of some property, quality, or characteristic.
-
E.
changedSilverContentOf
chosen
Indicates that one entity altered the amount or proportion of silver contained in another entity.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3599daa508190a9ed6f64138c0e53 |
completed | April 18, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69e296a7d9d0819088555bca6c936e79 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:16 a.m.