Triple
T4937029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Bates |
E110836
|
entity |
| Predicate | convertedToSabbathKeeping |
P60498
|
FINISHED |
| Object | 1845 |
—
|
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: 1845 | Statement: [Joseph Bates, convertedToSabbathKeeping, 1845]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedToSabbathKeeping Context triple: [Joseph Bates, convertedToSabbathKeeping, 1845]
-
A.
containsSpecialSabbath
Indicates that an entity includes or encompasses a designated special Sabbath observance within its scope or timeframe.
-
B.
differenceFromShabbat
Indicates a relationship where something is characterized or measured specifically by how it differs from Shabbat in status, practice, or conditions.
-
C.
convertedToTempleAfter
Indicates that a structure or place was transformed from its original use into a temple at a later time.
-
D.
convertedToTemple
Indicates that something has been transformed, repurposed, or officially designated to function as a temple.
-
E.
containsFixedFeasts
Indicates that an entity includes or encompasses specific feasts that occur on fixed, recurring calendar dates.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7085b1dc819099408f6503f0210f |
completed | March 20, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69bd6c389b9881908ad7fb1c5393c1b1 |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6ff731188190a9903602122d4ff9 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:30 p.m.