Triple
T3366792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A6 road |
E70855
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Matlock |
E113152
|
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: Matlock | Statement: [A6 road, passesThrough, Matlock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matlock Context triple: [A6 road, passesThrough, Matlock]
-
A.
Matlock
chosen
Matlock is a historic spa and market town in Derbyshire, England, known for its picturesque setting in the Derwent Valley and its role as the county’s administrative centre.
-
B.
MATLOCK
MATLOCK is a town in Derbyshire, England, known as a gateway to the Peak District and a local administrative and commercial centre.
-
C.
Kojak
Kojak is a 1970s American television crime drama series centered on the tough, lollipop-licking New York City detective Theo Kojak, played by Telly Savalas.
-
D.
Jim Rockford
Jim Rockford is the wisecracking, down-on-his-luck private investigator protagonist of the 1970s television series "The Rockford Files," portrayed by James Garner.
-
E.
Nash Bridges
Nash Bridges is an American television crime drama series set in San Francisco, starring Don Johnson as a charismatic police inspector.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb287a30c8190b4c40091675c94fb |
completed | March 8, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b325500eac8190b6f43864af8bda6c |
completed | March 12, 2026, 8:42 p.m. |
Created at: March 8, 2026, 3:13 p.m.