Triple
T32289417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jubilee in the Catholic Church |
E824921
|
entity |
| Predicate | firstInstitutionYear |
P206243
|
FINISHED |
| Object | 1300 |
—
|
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: 1300 | Statement: [Jubilee in the Catholic Church, firstInstitutionYear, 1300]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstInstitutionYear Context triple: [Jubilee in the Catholic Church, firstInstitutionYear, 1300]
-
A.
firstYear
Indicates that an entity is in its first year of existence, operation, or participation within a specified context.
-
B.
firstCreationYear
Indicates the year in which something was first created or originally produced.
-
C.
firstEngagementYear
Indicates the calendar year in which an entity first became engaged in a specified relationship, activity, or involvement.
-
D.
firstInstallmentYear
Indicates the year in which the first installment of a series of payments or releases occurs.
-
E.
firstHoistedYear
Indicates the year in which something (typically a flag, banner, or similar item) was first formally raised or displayed.
- 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_69f349101b788190b4f14884dc7d1ed2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 12:44 a.m.