Triple
T15241139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dart Charge |
E364256
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Dartford |
—
|
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: Dartford | Statement: [Dart Charge, location, Dartford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dartford Context triple: [Dart Charge, location, Dartford]
-
A.
Dartford
chosen
Dartford is a historic market and industrial town in southeast England, situated on the River Darent and serving as a key commuter hub for London.
-
B.
Dagenham
Dagenham is a suburban town in East London, historically known for its large Ford car plant and extensive post-war housing estates.
-
C.
Hainault
Hainault is a suburban area in northeast London, England, known for its residential character and proximity to Hainault Forest Country Park.
-
D.
Purley
Purley is a suburban town in South London known for its residential character and location within the London Borough of Croydon.
-
E.
Sidcup
Sidcup is a suburban district in southeast London, England, known for its residential character, local colleges, and position within the London Borough of Bexley.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007db9a148190aadea8d5f8b6b261 |
completed | April 15, 2026, 9:49 p.m. |
Created at: April 10, 2026, 3:13 a.m.