Triple
T23902886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veirs Mill Road |
E601100
|
entity |
| Predicate | hasSafetyImprovements |
P33946
|
FINISHED |
| Object | pedestrian safety projects on multiple segments |
—
|
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: pedestrian safety projects on multiple segments | Statement: [Veirs Mill Road, hasSafetyImprovements, pedestrian safety projects on multiple segments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSafetyImprovements Context triple: [Veirs Mill Road, hasSafetyImprovements, pedestrian safety projects on multiple segments]
-
A.
safetyChangesImplemented
chosen
Indicates that specific safety-related modifications or measures have been put into effect.
-
B.
hasImproved
Indicates that an entity’s state, quality, or performance has become better compared to a previous point in time.
-
C.
hasSafetyCharacteristic
Indicates that an entity possesses a specific safety-related property, feature, or attribute.
-
D.
hasLightingImprovements
Indicates that an entity has enhancements or upgrades made to its lighting conditions or systems.
-
E.
hasSafetyInfrastructure
Indicates that appropriate safety-related structures, systems, or measures are present for the referenced entity or environment.
- 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_69e295364a488190bcac702e9bb7f764 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cddf46948190b8625811725fe41d |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:26 p.m.