Triple
T1157998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solemnity of Christ the King |
E24426
|
entity |
| Predicate | yearOfInstitution |
P376
|
FINISHED |
| Object | 1925 |
—
|
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: 1925 | Statement: [Solemnity of Christ the King, yearOfInstitution, 1925]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfInstitution Context triple: [Solemnity of Christ the King, yearOfInstitution, 1925]
-
A.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
-
B.
designationYear
Indicates the year in which something was formally designated, assigned, or given an official status.
-
C.
offersPostgraduateYear
Indicates that an institution or program provides a specific postgraduate year position or training opportunity to an individual.
-
D.
year
chosen
Indicates the specific calendar year associated with an entity, event, or fact.
-
E.
hadInstitution
Indicates that an entity was affiliated with, operated within, or was served by a particular institution during some period of time.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcab3cd08190ad06ea007042a8fc |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb525b648190adcb7a29256d3c41 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:45 p.m.