Triple
T1087087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Entrance |
E24076
|
entity |
| Predicate | carriedObjects |
P24081
|
FINISHED |
| Object | bread for the Eucharist |
—
|
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: bread for the Eucharist | Statement: [Great Entrance, carriedObjects, bread for the Eucharist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carriedObjects Context triple: [Great Entrance, carriedObjects, bread for the Eucharist]
-
A.
carriedBy
Indicates that one entity is physically supported and transported by another entity.
-
B.
depictedHolding
Indicates that one entity is shown in an image or representation as physically holding or grasping another entity.
-
C.
canHold
Indicates that one entity has the capacity or ability to contain, support, or carry another entity.
-
D.
bodyTakenTo
Indicates that a deceased person's body is transported or moved to a particular location.
-
E.
isUsuallyHeldBy
Indicates that something is most commonly or typically possessed, carried, or controlled by a particular entity.
- 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b97c64a88190bf1119fdd4940bf3 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b7407914819092ed933a7316b450 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b8f1097881908932d7eea4331917 |
completed | March 1, 2026, 10:08 p.m. |
Created at: March 1, 2026, 7:42 p.m.