Triple
T917434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pope Leo XIII |
E19800
|
entity |
| Predicate | encyclicalCountApprox |
P22929
|
FINISHED |
| Object | over 80 encyclicals |
—
|
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: over 80 encyclicals | Statement: [Pope Leo XIII, encyclicalCountApprox, over 80 encyclicals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encyclicalCountApprox Context triple: [Pope Leo XIII, encyclicalCountApprox, over 80 encyclicals]
-
A.
pontificalYear
Indicates the specific year within a pope’s reign during which an event, document, or action took place.
-
B.
numberOfCanonicalGospels
Indicates the count of canonical gospels associated with a given religious tradition or context.
-
C.
numberOfDioceses
Indicates the total count of dioceses associated with a given entity.
-
D.
numberOfEdicts
Indicates the total count of edicts associated with or issued by a given entity.
-
E.
ecumenicalCouncilNumber
Indicates the specific numbered position of an ecumenical council within the historical sequence of such councils.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b6755c488190b7f7848110e3ea2c |
completed | March 1, 2026, 9:58 p.m. |
| PD | Predicate disambiguation | batch_69a4b292d3408190947cbc2f794cf8c5 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b67499708190a65f24d1fd7e4ec5 |
completed | March 1, 2026, 9:58 p.m. |
Created at: March 1, 2026, 7:40 p.m.