Triple
T37973593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoyas golf |
E947359
|
entity |
| Predicate | homeInstitutionCampus |
P69454
|
FINISHED |
| Object | Georgetown University main campus |
—
|
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: Georgetown University main campus | Statement: [Hoyas golf, homeInstitutionCampus, Georgetown University main campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeInstitutionCampus Context triple: [Hoyas golf, homeInstitutionCampus, Georgetown University main campus]
-
A.
homeInstitutionLocation
Indicates the geographic place where an entity’s primary or home institution is located.
-
B.
hostsCampusOf
Indicates that one entity serves as the physical location or site where another entity’s campus is situated or maintained.
-
C.
isPartOfCampus
Indicates that one place, facility, or area is located within and belongs to a larger campus.
-
D.
cityCampus
Indicates that a campus is located within or associated with a particular city.
-
E.
campus1
chosen
Indicates a relationship where an entity is identified as a campus or is located on/associated with a particular campus.
- 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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.