Triple
T15378010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of the North |
E367719
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Memory Lane |
E367131
|
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: Memory Lane | Statement: [King of the North, hasTrack, Memory Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Memory Lane Context triple: [King of the North, hasTrack, Memory Lane]
-
A.
Memory Lane
chosen
"Memory Lane" is a popular track by British grime artist Bugzy Malone that reflects on his past and personal struggles.
-
B.
Memory Lane
Memory Lane is a narrow, atmospheric alleyway in Tokyo’s Shinjuku district famous for its tiny yakitori bars, traditional eateries, and nostalgic postwar ambiance.
-
C.
Shady Lane
"Shady Lane" is an indie rock song by the American band Pavement, known for its catchy melody and characteristically offbeat, lo-fi style.
-
D.
Smile Road
Smile Road is a creative work associated with English actress and singer-songwriter Abigail Hopkins.
-
E.
Zig Zag Road
Zig Zag Road is a steep, winding hill road on Box Hill in Surrey, England, famed for its scenic views and use in major cycling events such as the London 2012 Olympic road race.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e6044488190b0499db109f7f821 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b56dd1c81909a3933330e85fe0e |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.