Triple
T33663509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of the Republic of Florence |
E862418
|
entity |
| Predicate | orientationOfFleurDeLis |
P112266
|
FINISHED |
| Object | upright |
—
|
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: upright | Statement: [coat of arms of the Republic of Florence, orientationOfFleurDeLis, upright]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orientationOfFleurDeLis Context triple: [coat of arms of the Republic of Florence, orientationOfFleurDeLis, upright]
-
A.
orientationInFlag
Indicates the spatial orientation or alignment of an entity as it appears within a flag.
-
B.
hasHeraldicOrientation
chosen
Indicates the directional or positional orientation of a heraldic element within a coat of arms or similar heraldic context.
-
C.
orientationOfEagleHeads
Indicates the spatial direction or facing alignment of eagle heads relative to a reference frame or object.
-
D.
orientationOfCrosier
Indicates the spatial direction or positioning in which a crosier is oriented relative to a reference frame or object.
-
E.
orientationOfCross
Indicates the spatial orientation or alignment of a cross relative to a reference frame or object.
- 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_69f34984c4008190bb82f33a7819da64 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:42 a.m.