Triple
T25204284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vulcans |
E631205
|
entity |
| Predicate | representsFormerInstitutionNameUntil |
P168532
|
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, representsFormerInstitutionNameUntil, California University of Pennsylvania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsFormerInstitutionNameUntil Context triple: [Vulcans, representsFormerInstitutionNameUntil, California University of Pennsylvania]
-
A.
hasFormerInstitutionName
Indicates that an institution was previously known by a different name.
-
B.
hasFormerInstitution
Indicates that an entity was previously affiliated with, employed by, or enrolled in a particular institution in the past.
-
C.
parentInstitutionFormerName
Indicates that the parent institution of an entity previously operated under a different official name.
-
D.
laterInstitutionKnownAs
Indicates that an institution was subsequently renamed or rebranded and is now known by a later institutional name.
-
E.
namedAfterInstitution
Indicates that one entity has been given a name derived from or in honor of an institution.
- F. None of above. chosen
Provenance (4 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_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 21, 2026, 12:52 p.m.