Triple
T9059554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neon Bible |
E217086
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | City Slang |
E774842
|
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: City Slang | Statement: [Neon Bible, recordLabel, City Slang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City Slang Context triple: [Neon Bible, recordLabel, City Slang]
-
A.
City Slang
chosen
City Slang is an independent record label based in Berlin, known for releasing influential alternative and indie music from international artists.
-
B.
Drag City
Drag City is an independent American record label known for releasing influential indie, folk, and experimental music.
-
C.
Voices in the City
Voices in the City is a novel by Indian author Anita Desai that explores the inner lives and emotional struggles of a family in Calcutta against the backdrop of urban alienation and social change.
-
D.
Signed to the Streets
"Signed to the Streets" is a critically acclaimed mixtape by Chicago rapper Lil Durk that helped establish his prominence in the drill music scene.
-
E.
Dreamsville, U.S.A.
Dreamsville, U.S.A. was the affectionate nickname given to Dennison, Ohio, for its famously welcoming World War II railroad canteen that served millions of traveling servicemembers.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7eca6d8c8190b1a11a60d6649f78 |
completed | April 1, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0178be518819080bd6c8cf0a737e8 |
completed | April 3, 2026, 7:39 p.m. |
Created at: March 30, 2026, 7:10 p.m.