Triple
T35559674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drogheda bypass |
E1027601
|
entity |
| Predicate | reducesTrafficIn |
P32500
|
FINISHED |
| Object | Drogheda urban area |
—
|
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: Drogheda urban area | Statement: [Drogheda bypass, reducesTrafficIn, Drogheda urban area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reducesTrafficIn Context triple: [Drogheda bypass, reducesTrafficIn, Drogheda urban area]
-
A.
relievesTrafficFrom
chosen
Indicates that one entity reduces or alleviates traffic congestion that would otherwise occur on another entity.
-
B.
facilitatesTrafficTowards
Indicates that one entity enables, promotes, or directs the movement or flow of traffic toward another entity.
-
C.
facilitatesTrafficFlowBetween
Indicates that one entity enables, supports, or improves the movement of traffic between two other entities or locations.
-
D.
optimizesTrafficFor
Indicates a relationship where one entity adjusts or manages traffic conditions to improve efficiency, flow, or performance for another entity or context.
-
E.
regulatesTrafficBetween
Indicates that one entity controls, manages, or directs the flow of traffic occurring between two other entities or locations.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.