Triple
T17086737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papal Crusade |
E414616
|
entity |
| Predicate | hasInstitutionalInstrument |
P125832
|
FINISHED |
| Object | papal bull |
—
|
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: papal bull | Statement: [Papal Crusade, hasInstitutionalInstrument, papal bull]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInstitutionalInstrument Context triple: [Papal Crusade, hasInstitutionalInstrument, papal bull]
-
A.
hasInstitutionalCharacter
Indicates that something possesses qualities, status, or attributes associated with a formal institution or institutional framework.
-
B.
hasInstitutions
Indicates that one entity possesses, contains, or is associated with one or more institutions.
-
C.
hasInstitutionalHome
Indicates that an entity is formally based in, hosted by, or affiliated with a particular institution as its organizational home.
-
D.
hasMusicInstitution
Indicates that an entity is associated with or hosts a music-related institution, such as a conservatory, music school, or similar organization.
-
E.
hasInstitutionalContext
Indicates that something exists or occurs within the framework, setting, or environment of a particular institution or institutional structure.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe7ccb48190b8fb39e2a0ba0782 |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d67b14481909fcdbdeaa5c34785 |
completed | April 18, 2026, 10:31 a.m. |
| PDg | Predicate description generation | batch_69e37542d060819082aa73948eb8ebd4 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:35 a.m.