Triple
T40869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pope Francis |
E806
|
entity |
| Predicate | papacyStartDate |
P1814
|
FINISHED |
| Object | 2013-03-13 |
—
|
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: 2013-03-13 | Statement: [Pope Francis, papacyStartDate, 2013-03-13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: papacyStartDate Context triple: [Pope Francis, papacyStartDate, 2013-03-13]
-
A.
foundedOn
Indicates that an entity was established, created, or brought into existence on a specific date or point in time.
-
B.
coronationDate
Indicates the date on which an individual is formally crowned or installed into a royal or equivalent sovereign position.
-
C.
foundedBefore
Indicates that one entity was established or created at an earlier time than the other entity.
-
D.
officeHolderStartTime
chosen
Indicates the date and time at which an individual begins holding a particular office or position.
-
E.
firstCelebratedInYear
Indicates the year in which something (such as an event, holiday, or celebration) was first observed or celebrated.
- F. None of above.
Provenance (3 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. |
Created at: Feb. 28, 2026, 1:46 a.m.