Triple
T3205687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wachtendonck Psalms |
E67154
|
entity |
| Predicate | approximateNumberOfPsalms |
P32364
|
FINISHED |
| Object | 150 |
—
|
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: 150 | Statement: [Wachtendonck Psalms, approximateNumberOfPsalms, 150]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateNumberOfPsalms Context triple: [Wachtendonck Psalms, approximateNumberOfPsalms, 150]
-
A.
approximateNumberOfVerses
Indicates an estimated or approximate count of verses associated with an entity.
-
B.
approximateNumberOfPoems
chosen
Indicates an estimated or roughly calculated count of poems associated with an entity.
-
C.
psalmNumber
Indicates the specific numerical designation assigned to a psalm within an ordered collection or canon.
-
D.
approximateNumberOfHomilies
Indicates the estimated count of homilies associated with an entity, rather than an exact number.
-
E.
functionInPsalter
Indicates the specific liturgical, structural, or thematic role that a psalm (or part of it) serves within the overall collection of the Psalter.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaa559848819082d1e61f586278dd |
completed | March 8, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69ad9e078f7c8190813d9fcb4f5071fb |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.