Triple
T23252765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Moods of Time |
E581778
|
entity |
| Predicate | usesReliefType |
P14580
|
FINISHED |
| Object | high relief |
—
|
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: high relief | Statement: [The Moods of Time, usesReliefType, high relief]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesReliefType Context triple: [The Moods of Time, usesReliefType, high relief]
-
A.
hasRelief
chosen
Indicates that one entity features or exhibits a raised or sculpted surface design (relief) in relation to another entity or context.
-
B.
typeOfReliefAtIssue
Indicates the specific kind or category of legal relief or remedy that is being sought or contested in a given matter.
-
C.
hasReliefRange
Indicates a relationship where an entity is associated with a specified range or interval of relief (e.g., elevation difference or surface variation) values.
-
D.
hasReliefsFrom
Indicates that one entity experiences a reduction or alleviation of symptoms, problems, or burdens as a result of another entity.
-
E.
hasReliefFeature
Indicates that one entity possesses or includes a specific relief-related physical feature or characteristic.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f840dc819098e52272abefe616 |
completed | April 29, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:11 p.m.