Triple
T18265337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great and Holy Monday |
E437468
|
entity |
| Predicate | hasScriptureReadings |
P5456
|
FINISHED |
| Object | Gospel passages about the fig tree |
—
|
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: Gospel passages about the fig tree | Statement: [Great and Holy Monday, hasScriptureReadings, Gospel passages about the fig tree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScriptureReadings Context triple: [Great and Holy Monday, hasScriptureReadings, Gospel passages about the fig tree]
-
A.
scriptureRead
Indicates that an entity reads, studies, or engages with a religious or sacred text.
-
B.
hasViewOnScripture
Indicates that an entity holds a particular interpretive stance or doctrinal position regarding scripture.
-
C.
hasScripture
Indicates that one entity possesses, is associated with, or is defined by a particular scripture or set of scriptural texts.
-
D.
hasLiturgicalReading
chosen
Indicates that a religious service, observance, or liturgical event includes or is associated with a specific prescribed reading from scripture or other sacred text.
-
E.
hasReading
Indicates that an entity is associated with a particular reading, such as a measured value, interpretation, or recorded observation.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff79851481909a4bbeb14fb00647 |
completed | April 19, 2026, 4:14 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:34 a.m.