Triple
T2200312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annuit cœptis |
E50472
|
entity |
| Predicate | positionOnGreatSeal |
P34701
|
FINISHED |
| Object | above the unfinished pyramid on the reverse side |
—
|
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: above the unfinished pyramid on the reverse side | Statement: [Annuit cœptis, positionOnGreatSeal, above the unfinished pyramid on the reverse side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnGreatSeal Context triple: [Annuit cœptis, positionOnGreatSeal, above the unfinished pyramid on the reverse side]
-
A.
positionOfEmblem
chosen
Indicates the spatial placement or location of an emblem relative to a reference object or surface.
-
B.
positionOnGood
Indicates the stance or viewpoint an entity holds regarding a particular good, such as support, opposition, or neutrality.
-
C.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
D.
signatureLocation
Indicates the place or position where a signature is written, recorded, or otherwise applied.
-
E.
legendLocation
Indicates the place or setting where a particular legend, myth, or traditional story is situated or associated.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfa06bb4819092d7021358846e5f |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda706f4819094de73e1d1d1f539 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.