Triple
T32671286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allen Street |
E835296
|
entity |
| Predicate | hasPublicSafetyConcern |
P179367
|
FINISHED |
| Object | traffic safety |
—
|
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: traffic safety | Statement: [Allen Street, hasPublicSafetyConcern, traffic safety]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicSafetyConcern Context triple: [Allen Street, hasPublicSafetyConcern, traffic safety]
-
A.
protectionConcerns
chosen
Indicates that there are identified risks, threats, or vulnerabilities affecting the safety, rights, or well-being of an entity that may require protective action or safeguards.
-
B.
hazardManagementConcern
Indicates a relationship where one entity is a source, subject, or focus of concern regarding the identification, assessment, or control of hazards by another entity.
-
C.
governmentConcerned
Indicates that a government has a particular interest in, worry about, or focus on a specific issue, entity, or situation.
-
D.
hasPublicSafetyProvider
Indicates that an entity is served or protected by a designated public safety provider, such as police, fire, or emergency services.
-
E.
raisedConcernAbout
Indicates that one entity has expressed worry, doubt, or objection regarding another entity or issue.
- 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_69f349303ccc8190a70d0f6e8a21d3fb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: May 1, 2026, 1:09 a.m.