Triple
T4818314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Elizabeth II Bridge |
E107644
|
entity |
| Predicate | hasTollCollection |
P3913
|
FINISHED |
| Object | Dart Charge |
E364256
|
NE 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: Dart Charge | Statement: [Queen Elizabeth II Bridge, hasTollCollection, Dart Charge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dart Charge Context triple: [Queen Elizabeth II Bridge, hasTollCollection, Dart Charge]
-
A.
Dart Charge
chosen
Dart Charge is the electronic toll collection system used to pay for crossing the River Thames via the Dartford Crossing in the UK.
-
B.
The Bolt
The Bolt is an 18th-century Rococo painting by Jean-Honoré Fragonard, celebrated for its intimate, dramatic depiction of a clandestine lovers’ encounter.
-
C.
Charge!
Charge! is a U.S. digital broadcast television network specializing in action-oriented programming, including classic police, detective, and adventure series.
-
D.
DART
DART is the public transportation authority serving the Dallas–Fort Worth metropolitan area with buses, light rail, commuter rail, and paratransit services.
-
E.
DART
DART is an electrified suburban rail service that runs along the coast of Dublin and its surrounding areas, providing frequent commuter transport.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c95b0ec8190a562541b0d7417cb |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4db8cb208190bda1d6df46391dfa |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:24 p.m.