Triple
T26580950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Head cent |
E667074
|
entity |
| Predicate | metalContentChangeYear |
P160662
|
FINISHED |
| Object | 1864 |
—
|
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: 1864 | Statement: [Indian Head cent, metalContentChangeYear, 1864]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metalContentChangeYear Context triple: [Indian Head cent, metalContentChangeYear, 1864]
-
A.
changedSilverContentOf
Indicates that one entity altered the amount or proportion of silver contained in another entity.
-
B.
yearsOfMinting
Indicates the span of years during which an item (such as a coin or stamp) was actively produced or issued.
-
C.
mainMetalProduced
Indicates that a location, facility, or process primarily produces a particular metal as its main output.
-
D.
metalContentPre1965
Indicates that something has the metal composition or standard that was used before the year 1965.
-
E.
associatedMetal
Indicates a relationship where one entity is linked or connected to a particular metal, such as by composition, usage, origin, or symbolic association.
- 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_69ee9cfb7e548190b60a9031182f5a7e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f614e0f3688190a10114486c5d62ab |
completed | May 2, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f6037bf7a081908862a8359be80cf8 |
completed | May 2, 2026, 2 p.m. |
Created at: April 27, 2026, 2:03 a.m.