Triple
T35780907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The College |
E1034433
|
entity |
| Predicate | refersToInstitutionOfficialName |
P104259
|
FINISHED |
| Object | Royal Military College of Canada |
—
|
NE NERFINISHED |
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: Royal Military College of Canada | Statement: [The College, refersToInstitutionOfficialName, Royal Military College of Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToInstitutionOfficialName Context triple: [The College, refersToInstitutionOfficialName, Royal Military College of Canada]
-
A.
refersToOfficialName
chosen
Indicates that one entity is referencing or using the formally recognized, official name of another entity.
-
B.
recognizedAsInstitutionBy
Indicates that an entity is acknowledged or accepted as an institution by a specified recognizing party.
-
C.
isTitleForInstitution
Indicates that a given title or designation is formally associated with or used by a particular institution.
-
D.
associatedInstitutionNickname
Indicates that an institution is commonly known or referred to by a particular nickname.
-
E.
namedAfterInstitution
Indicates that one entity has been given a name derived from or in honor of an institution.
- 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_69f76e14a1e081908eddd57bd6fdb3be |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe8f74748c8190bd14a856c057f9f7 |
completed | May 9, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69fe8e7ed8088190929e0df67aca4de9 |
completed | May 9, 2026, 1:31 a.m. |
Created at: May 3, 2026, 4:06 p.m.