Triple
T5584058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Hall (UC Berkeley) |
E146708
|
entity |
| Predicate | survivesFrom |
P25058
|
FINISHED |
| Object | early years of the University of California |
—
|
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: early years of the University of California | Statement: [South Hall (UC Berkeley), survivesFrom, early years of the University of California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: survivesFrom Context triple: [South Hall (UC Berkeley), survivesFrom, early years of the University of California]
-
A.
survivingFrom
chosen
Indicates that one entity continues to live, exist, or remain after another related entity has ended, disappeared, or ceased to exist.
-
B.
survivesAs
Indicates that one entity continues to exist or persist in place of, or after the end or transformation of, another entity.
-
C.
survivesIn
Indicates that an entity remains alive, functional, or intact within a specified environment, condition, or context.
-
D.
survivingSourceType
Indicates the type or category of the source that still exists or remains available as evidence of something.
-
E.
hasSurvivors
Indicates that one or more entities continue to exist or remain alive after a particular event, condition, or incident.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02084b5f0819089b62283c57704ec |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b16b9bc8190ab0b945507d90e05 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:37 p.m.