Triple
T35780901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The College |
E1034433
|
entity |
| Predicate | refersToInstitutionLocatedIn |
P180020
|
FINISHED |
| Object | Kingston, Ontario, 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: Kingston, Ontario, Canada | Statement: [The College, refersToInstitutionLocatedIn, Kingston, Ontario, Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToInstitutionLocatedIn Context triple: [The College, refersToInstitutionLocatedIn, Kingston, Ontario, Canada]
-
A.
memberInstitutionLocation
chosen
Indicates that a member institution is located in, or associated with, a specific geographic place or address.
-
B.
parentInstitutionLocation
Indicates the geographical location associated with a parent institution in relation to another entity.
-
C.
locatedAtInstitution
Indicates that an entity is situated at, based in, or physically present within a particular institution.
-
D.
homeInstitutionLocation
Indicates the geographic place where an entity’s primary or home institution is located.
-
E.
hasParentInstitutionHeadquartersIn
Indicates that the headquarters of an entity’s parent institution is located in a specified place.
- 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_69fe7eb4b8348190bb19d35766189ed4 |
completed | May 9, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69fe7c35d2148190ab952e54feda1e76 |
completed | May 9, 2026, 12:13 a.m. |
Created at: May 3, 2026, 4:06 p.m.