Triple
T22875053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathismata |
E567299
|
entity |
| Predicate | numberOfDivisionsInPsalter |
P150086
|
FINISHED |
| Object | 20 kathismata in standard Byzantine Psalter |
—
|
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: 20 kathismata in standard Byzantine Psalter | Statement: [Kathismata, numberOfDivisionsInPsalter, 20 kathismata in standard Byzantine Psalter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDivisionsInPsalter Context triple: [Kathismata, numberOfDivisionsInPsalter, 20 kathismata in standard Byzantine Psalter]
-
A.
numberOfPsalms
Indicates the total count of psalms associated with a given entity or context.
-
B.
numberOfOfficialStanzas
Indicates the total count of officially recognized stanzas associated with an entity, such as a song, poem, or anthem.
-
C.
hasVerseDivision
Indicates that a text or passage is organized into or associated with specific verse divisions.
-
D.
functionInPsalter
Indicates the specific liturgical, structural, or thematic role that a psalm (or part of it) serves within the overall collection of the Psalter.
-
E.
psalmNumber
Indicates the specific numerical designation assigned to a psalm within an ordered collection or canon.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f57a1ec8190b8c6a0080d97a2a2 |
completed | April 29, 2026, 3:47 a.m. |
| PD | Predicate disambiguation | batch_69eed2d8c0608190afef4c4e530c0e2c |
completed | April 27, 2026, 3:07 a.m. |
| PDg | Predicate description generation | batch_69eeeb577e2081909f4a4e9c296535c0 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:39 p.m.