Triple
T16054632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennington Circle |
E389445
|
entity |
| Predicate | trafficManagementGoal |
P121442
|
FINISHED |
| Object | reduce congestion |
—
|
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: reduce congestion | Statement: [Pennington Circle, trafficManagementGoal, reduce congestion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trafficManagementGoal Context triple: [Pennington Circle, trafficManagementGoal, reduce congestion]
-
A.
trafficManagementStrategy
Indicates a method or plan used to control, organize, or optimize the flow of traffic within a transportation system.
-
B.
trafficRestriction
Indicates a limitation or prohibition on the movement or flow of traffic between entities, such as vehicles, routes, or areas.
-
C.
optimizesTrafficFor
Indicates a relationship where one entity adjusts or manages traffic conditions to improve efficiency, flow, or performance for another entity or context.
-
D.
regulatesTrafficBetween
Indicates that one entity controls, manages, or directs the flow of traffic occurring between two other entities or locations.
-
E.
facilitatesTrafficFlowBetween
Indicates that one entity enables, supports, or improves the movement of traffic between two other entities or locations.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e18272f2288190a17d45fb01cc2b07 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e185879c10819080a18e24969b5a6d |
completed | April 17, 2026, 12:57 a.m. |
Created at: April 10, 2026, 4:56 a.m.