Triple
T12800201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twenty Sermons |
E305996
|
entity |
| Predicate | numberOfSermons |
P106457
|
FINISHED |
| Object | 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: 20 | Statement: [Twenty Sermons, numberOfSermons, 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSermons Context triple: [Twenty Sermons, numberOfSermons, 20]
-
A.
approximateNumberOfHomilies
Indicates the estimated count of homilies associated with an entity, rather than an exact number.
-
B.
sermonBy
Indicates that a sermon is delivered, authored, or given by a particular person or agent.
-
C.
preachesFrom
Indicates that a person delivers a sermon, teaching, or religious message using a particular text, source, or location as the basis.
-
D.
broadcastOfSermon
Indicates that a sermon is being transmitted or distributed to an audience via some broadcasting medium.
-
E.
publishesSermonsArchive
Indicates that one entity makes a collection or archive of sermons publicly available, typically by issuing or distributing it.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e7d3f5c8190bf01bef5d263ca26 |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d88be0481908c311f1e71b61e70 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:30 p.m.