Triple
T10160591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newbury bypass |
E233878
|
entity |
| Predicate | policingCost |
P92350
|
FINISHED |
| Object | several tens of millions of pounds |
—
|
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: several tens of millions of pounds | Statement: [Newbury bypass, policingCost, several tens of millions of pounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policingCost Context triple: [Newbury bypass, policingCost, several tens of millions of pounds]
-
A.
policingModel
Indicates the approach, strategy, or framework used to organize and conduct policing activities or law enforcement operations.
-
B.
policeSystem
Indicates a relationship where an entity functions as, belongs to, or is governed by a system of law enforcement or policing.
-
C.
policeControl
Indicates that one entity exercises authoritative oversight, regulation, or enforcement power over another, as a police force does over people or areas under its jurisdiction.
-
D.
programCost
Indicates the monetary or resource expenditure required to implement, run, or participate in a particular program.
-
E.
policesCity
Indicates that one entity is responsible for providing law enforcement or policing services within a particular city.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec5831e481909b48fdfa8f1c670b |
completed | April 2, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba795808190acc9124c98c6e40f |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8f869c8190a82ad040993e0244 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 9:09 p.m.