Triple
T34418607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wada Apartments |
E883465
|
entity |
| Predicate | safetyResponsibilityOf |
P179979
|
FINISHED |
| Object | UC Berkeley housing and campus services |
—
|
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: UC Berkeley housing and campus services | Statement: [Wada Apartments, safetyResponsibilityOf, UC Berkeley housing and campus services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: safetyResponsibilityOf Context triple: [Wada Apartments, safetyResponsibilityOf, UC Berkeley housing and campus services]
-
A.
safetyRelevant
Indicates that the associated entity, condition, or information has a direct impact on safety or is critical for preventing harm or accidents.
-
B.
safety
Indicates that an entity provides, ensures, or is associated with protection from harm, danger, or risk for another entity or within a given context.
-
C.
safetyImplication
Indicates that one entity has a consequence, effect, or relevance for the safety or risk level associated with another entity or situation.
-
D.
safetyConcept
Indicates that something embodies, represents, or is associated with a principle, idea, or framework related to safety.
-
E.
safetyResponse
Indicates how an entity reacts or what measures it takes in response to a potential or actual safety-related situation.
- 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_69f349c2e3b88190a67834eb5bcffeaf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f72ad38a208190b4bdc828297f86ad |
completed | May 3, 2026, 11 a.m. |
| PD | Predicate disambiguation | batch_69f72a0243988190a43b8ea22457cd30 |
completed | May 3, 2026, 10:57 a.m. |
| PDg | Predicate description generation | batch_69f72ad2cc348190a6794b62d69d21f8 |
completed | May 3, 2026, 11 a.m. |
Created at: May 1, 2026, 2 a.m.