Triple
T18130914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Line (TRAX) |
E434006
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | TRAX |
—
|
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: TRAX | Statement: [Blue Line (TRAX), partOf, TRAX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TRAX Context triple: [Blue Line (TRAX), partOf, TRAX]
-
A.
TRAX
chosen
TRAX is the light rail system serving the Salt Lake City metropolitan area along Utah’s Wasatch Front.
-
B.
Tre Trax
Tre Trax is a music producer and member of the Internet Money collective, known for crafting contemporary hip-hop and trap instrumentals.
-
C.
8TRAX
8TRAX was a retro-themed nightclub at Walt Disney World’s Pleasure Island that featured 1970s and 1980s music and dance.
-
D.
VolTRAX
VolTRAX is an automated sample preparation device developed by Oxford Nanopore Technologies to streamline and standardize workflows for nanopore sequencing.
-
E.
The Legendary Traxster
The Legendary Traxster is a Chicago-based hip-hop producer best known for his influential work with artists like Twista and Do or Die, helping define the city's rapid-fire, melodic rap sound.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddf1e2508190993f65ca137fdf63 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:29 a.m.