Triple
T8338926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third session of the Second Vatican Council |
E195859
|
entity |
| Predicate | numberOfCouncilFathers |
P82175
|
FINISHED |
| Object | over 2000 |
—
|
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 2000 | Statement: [Third session of the Second Vatican Council, numberOfCouncilFathers, over 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCouncilFathers Context triple: [Third session of the Second Vatican Council, numberOfCouncilFathers, over 2000]
-
A.
majorityOfBishopsFrom
Indicates that, within a given group or context, more than half of the bishops originate from or are associated with a specified place or source.
-
B.
numberOfConsulships
Indicates the total count of times an entity has held the office or role of consul.
-
C.
numberOfSaints
Indicates the numerical count of saints associated with a given entity or context.
-
D.
numberOfGrandeeships
Indicates the quantity of grandeeships (noble titles or ranks of grandee status) associated with a given entity.
-
E.
numberOfPopesResiding
Indicates the count of popes who have resided in or at a given place.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd68e348190a7cb8639a263b50f |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d823b08190a54fadb50660cda5 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:57 p.m.