Triple
T2287823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papal tiara |
E51433
|
entity |
| Predicate | noLongerUsedIn |
P6544
|
FINISHED |
| Object | papal inaugurations |
—
|
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: papal inaugurations | Statement: [Papal tiara, noLongerUsedIn, papal inaugurations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: noLongerUsedIn Context triple: [Papal tiara, noLongerUsedIn, papal inaugurations]
-
A.
usedInsteadOf
Indicates that one entity is employed or chosen as a substitute or replacement for another entity.
-
B.
notTypicallyUsedFor
Indicates that something is generally not used for a particular purpose, function, or activity under normal circumstances.
-
C.
usedAt
Indicates that something is employed, applied, or utilized at a particular place, time, or context.
-
D.
usedMark
Indicates that one entity has employed or applied a particular mark, symbol, or indicator in some context or action.
-
E.
usedUntil
chosen
Indicates that something remained in use or operation up to a specified time or event, after which it was no longer used.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc24868048190940512fd6449d99e |
completed | March 7, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_69abbdbb9e4c819085fc588626ec7c09 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.