Triple
T5592052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feria Quarta Cinerum |
E146901
|
entity |
| Predicate | usesAshesFrom |
P64939
|
FINISHED |
| Object | palms blessed on previous Palm Sunday |
—
|
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: palms blessed on previous Palm Sunday | Statement: [Feria Quarta Cinerum, usesAshesFrom, palms blessed on previous Palm Sunday]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAshesFrom Context triple: [Feria Quarta Cinerum, usesAshesFrom, palms blessed on previous Palm Sunday]
-
A.
underFire
Indicates that an entity is being attacked, heavily criticized, or subjected to intense pressure by another entity or group.
-
B.
usedAgainst
Indicates that one entity is employed, applied, or deployed in opposition to, or for the purpose of affecting, another entity.
-
C.
eraUsedIn
Indicates that something (such as a method, standard, or practice) was in active use during a specified historical or temporal era.
-
D.
burningSince
Indicates that an object or substance has been continuously burning from a specified starting time up to the present or another reference time.
-
E.
ashFall
Indicates that ash is falling or being deposited from the air onto a location or object.
- F. None of above. chosen
Provenance (4 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020a3365c8190bd223226c0a6969f |
completed | March 22, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69c01b16b9bc8190ab0b945507d90e05 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:38 p.m.