Triple
T17007330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennsylvania College |
E412604
|
entity |
| Predicate | campusSuccessor |
P3528
|
FINISHED |
| Object | Gettysburg College campus |
—
|
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: Gettysburg College campus | Statement: [Pennsylvania College, campusSuccessor, Gettysburg College campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campusSuccessor Context triple: [Pennsylvania College, campusSuccessor, Gettysburg College campus]
-
A.
hasSuccessorCampusName
Indicates that one campus name is the successor or replacement of another campus name in a sequence or renaming history.
-
B.
successorInstitution
chosen
Indicates that one institution continues, replaces, or takes over the role and functions of another institution in a successor relationship.
-
C.
successorSchoolHead
Indicates that one person becomes the next head (e.g., principal, headmaster) of a school after another person.
-
D.
campus1
Indicates a relationship where an entity is identified as a campus or is located on/associated with a particular campus.
-
E.
formerCampus
Indicates that an entity was once located on or associated with a particular campus, but is no longer based there.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d3841e48819086dbc383cb4b1c16 |
completed | April 18, 2026, 6:55 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.