Triple
T14014950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swaecation |
E337179
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Fki 1st |
E747304
|
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: Fki 1st | Statement: [Swaecation, producer, Fki 1st]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fki 1st Context triple: [Swaecation, producer, Fki 1st]
-
A.
FKi 1st
chosen
FKi 1st is an American record producer and songwriter known for his work in hip-hop and trap music with artists such as Travis Scott.
-
B.
FKi
FKi is an Atlanta-based production duo known for their trap-influenced hip-hop beats and collaborations with prominent rap artists.
-
C.
FIF
FIF is the abbreviation for the Fife Flyers, a professional ice hockey team based in Kirkcaldy, Scotland.
-
D.
FIKEM
FIKEM is the UN/LOCODE identifier for the Port of Kemi in Finland, used in international shipping and logistics.
-
E.
FKUI
FKUI is the Faculty of Medicine of the University of Indonesia, one of the country’s leading medical education and research institutions.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f396b648190927e5718c3bb6511 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacac12608190a5e3d970ec3cda45 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.