Triple
T157385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triumphal Entry into Jerusalem |
E3208
|
entity |
| Predicate | featuresAction |
P5457
|
FINISHED |
| Object | Jesus rides into Jerusalem on a donkey |
—
|
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: Jesus rides into Jerusalem on a donkey | Statement: [Triumphal Entry into Jerusalem, featuresAction, Jesus rides into Jerusalem on a donkey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresAction Context triple: [Triumphal Entry into Jerusalem, featuresAction, Jesus rides into Jerusalem on a donkey]
-
A.
featuresText
Indicates that an entity includes or presents a specific piece of text as one of its characteristics or contents.
-
B.
commands
Indicates that one entity holds authority over another and issues directives or orders that the other is expected to follow.
-
C.
supportsFeature
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
D.
operationType
Indicates the specific kind of operation or action being performed or recorded in the relationship between entities.
-
E.
committeeFunction
Indicates that a committee performs, is responsible for, or is associated with a particular function or role.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a25830136881909f5ecb2cb22097b2 |
completed | Feb. 28, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69a2565f30848190a2a71fdb7dc140b5 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a257101060819094db0f3a3a72f312 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.