Triple
T33567370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borough of Princeton |
E859793
|
entity |
| Predicate | hadCentralInstitution |
P10881
|
FINISHED |
| Object | Princeton University |
—
|
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: Princeton University | Statement: [Borough of Princeton, hadCentralInstitution, Princeton University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadCentralInstitution Context triple: [Borough of Princeton, hadCentralInstitution, Princeton University]
-
A.
centralInstitutionOf
chosen
Indicates that one institution serves as the primary or main institutional center for another entity, such as an organization, system, or region.
-
B.
hadInstitution
Indicates that an entity was affiliated with, operated within, or was served by a particular institution during some period of time.
-
C.
hasCentralOrgan
Indicates that an entity possesses a primary or main organ that serves as a central functional or structural component.
-
D.
hasCentralAct
Indicates that an entity includes or is characterized by a primary or most important action, event, or operation at its core.
-
E.
hostsInstitution
Indicates that one entity serves as the hosting location or organizing body for 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_69f3497c1d288190a844ea699914e038 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f740ee548190a73daee3321d8264 |
completed | May 3, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:40 a.m.