Triple
T2608938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | papal coat of arms of Pope Francis |
E58727
|
entity |
| Predicate | modifiedElement |
P10258
|
FINISHED |
| Object | replaced papal tiara with mitre |
—
|
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: replaced papal tiara with mitre | Statement: [papal coat of arms of Pope Francis, modifiedElement, replaced papal tiara with mitre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modifiedElement Context triple: [papal coat of arms of Pope Francis, modifiedElement, replaced papal tiara with mitre]
-
A.
leafModification
Indicates a relationship where an entity undergoes or causes a change in the structure, form, or characteristics of a leaf.
-
B.
replacedStructure
chosen
Indicates that one structure has been substituted for, or taken the place of, another structure.
-
C.
modifiesMorphologyOf
Indicates that one entity alters or changes the morphological structure or form of another entity.
-
D.
decorChanges
Indicates that an entity alters or updates the decorative appearance or arrangement of another entity or environment.
-
E.
amendedBy
Indicates that one entity has been modified, revised, or updated as a result of changes made by 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8def9bc8190b2e013abffc7b191 |
completed | March 7, 2026, 7:50 a.m. |
| PD | Predicate disambiguation | batch_69abd80ab7248190ba06ba14fe4c5638 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:49 p.m.