Triple
T35098328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Park University |
E1012929
|
entity |
| Predicate | hasMultipleLocations |
P154098
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Park University, hasMultipleLocations, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMultipleLocations Context triple: [Park University, hasMultipleLocations, true]
-
A.
hasMultipleLocalities
chosen
Indicates that an entity is associated with more than one locality or geographic area.
-
B.
hasApproximateNumberOfLocations
Indicates that an entity is associated with an estimated or approximate count of locations, rather than an exact number.
-
C.
hasNumberOfLocalities
Indicates the relationship that specifies how many localities (e.g., towns, districts, or similar administrative units) are associated with a given entity.
-
D.
hasMultipleCampuses
Indicates that an educational institution operates more than one physical campus location.
-
E.
hasAlternateLocation
Indicates that an entity is associated with an additional or substitute location besides its primary one.
- 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_69f76dd556248190808b4c4f43debebb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
Created at: May 3, 2026, 4:01 p.m.