Triple
T9395694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Town |
E226136
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | London Town (song) |
E226136
|
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: London Town (song) | Statement: [London Town, track, London Town (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: London Town (song) Context triple: [London Town, track, London Town (song)]
-
A.
London Town
chosen
"London Town" is a 1978 studio album by Paul McCartney and Wings, known for its soft rock sound and the hit single "With a Little Luck."
-
B.
song "London Town"
"London Town" is a popular afrobeats track by Nigerian artist Mr Eazi that blends laid-back rhythms with his signature melodic style.
-
C.
Sugar Town
"Sugar Town" is a 1966 pop song by Nancy Sinatra, known for its light, whimsical style and catchy, laid-back melody.
-
D.
Englishtown
Englishtown is a historic district in Limerick, Ireland, known as one of the city’s oldest settled areas.
-
E.
Mob Town
Mob Town is a historic nickname for the city of Baltimore, reflecting its long-standing reputation for civil unrest and rowdy public gatherings in the 19th century.
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5112faa08190a8dd2c461d1e7a14 |
completed | April 1, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107949fe4819089f68a2c368af82f |
completed | April 4, 2026, 12:44 p.m. |
Created at: March 30, 2026, 7:45 p.m.