Triple
T1261230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eagle (10-dollar gold coin) |
E12504
|
entity |
| Predicate | reverseDesignMotif |
P1603
|
FINISHED |
| Object | eagle |
—
|
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: eagle | Statement: [Eagle (10-dollar gold coin), reverseDesignMotif, eagle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reverseDesignMotif Context triple: [Eagle (10-dollar gold coin), reverseDesignMotif, eagle]
-
A.
reverseMotif
Indicates that one motif is the reversed or inverted form of another motif in structure, order, or direction.
-
B.
reverseFeature
Indicates that one feature is the inverse or opposite counterpart of another feature in a given context.
-
C.
badgeReverseDesign
chosen
Indicates the design or imagery that appears on the reverse (back) side of a badge.
-
D.
reversed
Indicates that the direction or order of a previously defined relationship or sequence between entities is inverted.
-
E.
designEvolution
Indicates how the design of an entity changes, develops, or is refined over time or across versions.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc64e648190b9c4f980eb8168aa |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6eefbc81908dddd7d2ef368186 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:50 p.m.