Triple
T29902343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Calendarist movement |
E759442
|
entity |
| Predicate | disciplinaryEmphasis |
P168233
|
FINISHED |
| Object | strict fasting rules |
—
|
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: strict fasting rules | Statement: [Old Calendarist movement, disciplinaryEmphasis, strict fasting rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disciplinaryEmphasis Context triple: [Old Calendarist movement, disciplinaryEmphasis, strict fasting rules]
-
A.
disciplinaryFocus
Indicates the primary academic or professional field, subject area, or discipline that something is centered on or concerned with.
-
B.
academicEmphasis
Indicates a focus or concentration of study or specialization within an academic program or curriculum.
-
C.
academicFocus
Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
-
D.
dimensionOfStudy
Indicates the specific field, aspect, or perspective that characterizes or structures a particular study or research activity.
-
E.
scholarlyEmphasis
Indicates a relationship where an entity focuses its academic attention, research, or analysis predominantly on a particular subject, theme, or area of study.
- 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6772fce348190bc69daffad2fc0f1 |
completed | May 2, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 29, 2026, 6:07 p.m.