Triple
T30787371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mass of the Immaculate Conception |
E783990
|
entity |
| Predicate | typicalFirstReading |
P199629
|
FINISHED |
| Object | Genesis 3:9–15, 20 |
—
|
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: Genesis 3:9–15, 20 | Statement: [Mass of the Immaculate Conception, typicalFirstReading, Genesis 3:9–15, 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFirstReading Context triple: [Mass of the Immaculate Conception, typicalFirstReading, Genesis 3:9–15, 20]
-
A.
hasTypicalFirstReadings
chosen
Indicates that something is associated with a set of standard or commonly expected initial interpretations or readings.
-
B.
firstOrdinary
Indicates that the subject is the first entity to hold or occupy an ordinary (non-special, standard) position, role, or status in a given sequence or context.
-
C.
typicalLanguageOfReadings
Indicates the language that is most commonly used for readings or interpretations associated with a given entity.
-
D.
firstStandard
Indicates that the subject is the earliest or primary instance in a defined standard, sequence, or set of reference criteria.
-
E.
readingOf
Indicates that one entity is an interpretation, measurement, or recorded value derived from another entity.
- 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:41 p.m.