Triple
T40877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pope Francis |
E806
|
entity |
| Predicate | ordinationDate |
P3354
|
FINISHED |
| Object | 1969-12-13 |
—
|
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: 1969-12-13 | Statement: [Pope Francis, ordinationDate, 1969-12-13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ordinationDate Context triple: [Pope Francis, ordinationDate, 1969-12-13]
-
A.
certificationDate
Indicates the date on which an entity was officially certified or granted a formal certification.
-
B.
dateEnacted
Indicates the date on which a law, policy, or formal measure was officially put into effect or became legally operative.
-
C.
dedicationDate
Indicates the date on which something (such as a building, monument, or work) is formally dedicated or inaugurated.
-
D.
dateObserved
Indicates the specific date on which an event, condition, or measurement was recorded or observed.
-
E.
admittedToUnionOn
Indicates that an entity (typically a state or region) was formally accepted and incorporated into a union or federation on a specific date.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24db9527c8190816b6b25c88cb2f4 |
completed | Feb. 28, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69a24ab8a8908190beec6da6694dd4c9 |
completed | Feb. 28, 2026, 1:54 a.m. |
| PDg | Predicate description generation | batch_69a24db81c748190948560892f12c61b |
completed | Feb. 28, 2026, 2:06 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.