Triple
T23262375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DS2 |
E582048
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Where Ya At |
—
|
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: Where Ya At | Statement: [DS2, hasPart, Where Ya At]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Where Ya At Context triple: [DS2, hasPart, Where Ya At]
-
A.
Where Ya At
chosen
"Where Ya At" is a 2015 hip-hop single by Future featuring Drake, known for its moody production and themes of loyalty and success.
-
B.
Where You At
"Where You At" is a soulful R&B ballad by Jennifer Hudson that showcases her powerful vocals and served as a lead single from her second studio album.
-
C.
Where Ya From
"Where Ya From" is a track by Mobb Deep featured on their 1999 hardcore hip hop album *Murda Muzik*.
-
D.
Where You Are
"Where You Are" is a musical number from the stage adaptation of *Kiss of the Spider Woman*, known for its dramatic, character-driven storytelling within the show’s score.
-
E.
Where Are You
"Where Are You" is a song featured on the album "Through the Storm."
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c9f33c819082ef6b380fc594dd |
completed | April 29, 2026, 5:19 a.m. |
Created at: April 17, 2026, 4:11 p.m.