Triple
T15202756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papal election of 1352 |
E363307
|
entity |
| Predicate | numberOfCardinalsParticipating |
P117106
|
FINISHED |
| Object | 25 |
—
|
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: 25 | Statement: [Papal election of 1352, numberOfCardinalsParticipating, 25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCardinalsParticipating Context triple: [Papal election of 1352, numberOfCardinalsParticipating, 25]
-
A.
cardinalsStatus
Indicates the state or condition currently associated with cardinals in a given context.
-
B.
managedYearsWithCardinals
Indicates the span of years during which an entity managed something, expressed using cardinal (numeric) year values.
-
C.
cardinalsLeague
Indicates that a particular league is the league in which the Cardinals team competes or is affiliated.
-
D.
cardinalsFranchise
Indicates that an entity is the sports franchise known as the Cardinals associated with a particular league, city, or organization.
-
E.
numberOfColoniesRepresented
Indicates the count of distinct colonies that are represented or involved in relation to a given entity or context.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b693a48190a6230b7b52bc8cd3 |
completed | April 15, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69deb97ee9d881908711dbe12a55283c |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec72059c08190a34f513a00185b08 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:10 a.m.