Triple
T8835499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TRAX |
E210256
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | FrontRunner |
E210255
|
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: FrontRunner | Statement: [TRAX, connectsWith, FrontRunner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FrontRunner Context triple: [TRAX, connectsWith, FrontRunner]
-
A.
FrontRunner
chosen
FrontRunner is a commuter rail service in Utah that runs along the Wasatch Front, connecting major cities from Ogden through Salt Lake City to Provo.
-
B.
Runby
Runby is a residential district within Upplands Väsby in Stockholm County, Sweden.
-
C.
StreetRunner
StreetRunner is an American hip-hop record producer known for his work with major artists such as Lil Wayne, including contributions to the album "I Am Not a Human Being."
-
D.
SPRINTER
SPRINTER is a light rail service in northern San Diego County, California, providing east–west transit between Oceanside and Escondido.
-
E.
The Runners
The Runners are an American record production duo known for crafting polished, radio-friendly hip hop and R&B tracks for major artists.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6069ad7881909e31010e73e26f91 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa069d7488190ade4caa15fa83cd9 |
completed | April 3, 2026, 11:11 a.m. |
Created at: March 30, 2026, 6:47 p.m.