Triple
T25204255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vulcans |
E631205
|
entity |
| Predicate | formerNameOfRepresentedInstitution |
P119574
|
FINISHED |
| Object | California University of Pennsylvania |
—
|
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: California University of Pennsylvania | Statement: [Vulcans, formerNameOfRepresentedInstitution, California University of Pennsylvania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerNameOfRepresentedInstitution Context triple: [Vulcans, formerNameOfRepresentedInstitution, California University of Pennsylvania]
-
A.
parentInstitutionFormerName
Indicates that the parent institution of an entity previously operated under a different official name.
-
B.
representsFormerInstitutionNameUntil
Indicates that an institution was known by a former name up until a specified point in time.
-
C.
formerOrganization
Indicates that an entity was previously affiliated with or employed by a given organization, but is no longer associated with it.
-
D.
hasFormerInstitutionName
chosen
Indicates that an institution was previously known by a different name.
-
E.
nameOfLegacyInstitution
Indicates that one entity is the official or recognized name of an institution that existed in the past or in a previous organizational form.
- 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_69e75a8b86c4819089eda22c843b739f |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 21, 2026, 12:52 p.m.