Triple
T22722115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frisco Lines |
E561888
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | SLSF |
—
|
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: SLSF | Statement: [Frisco Lines, abbreviation, SLSF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SLSF Context triple: [Frisco Lines, abbreviation, SLSF]
-
A.
SLSF
chosen
SLSF was the reporting mark used by the St. Louis–San Francisco Railway, commonly known as the Frisco, a major Midwestern and Southern U.S. railroad.
-
B.
SLF
SLF is the Shuttle Landing Facility at NASA’s Kennedy Space Center, a specialized runway complex built for landing Space Shuttle orbiters and other aerospace vehicles.
-
C.
SLS
SLS is the vehicle registration code used on license plates for vehicles registered in Saarlouis, Germany.
-
D.
SLS
SLS is a Finnish scholarly society dedicated to the preservation, research, and promotion of Swedish-language literature and cultural heritage in Finland.
-
E.
SLS
SLS is the common abbreviation for the Shiga Lakestars, a professional basketball team based in Shiga Prefecture, Japan.
- 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_69e2454fc984819088213b58ee87a002 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17926ae0c8190af8493cab6b15261 |
completed | April 29, 2026, 3:21 a.m. |
Created at: April 17, 2026, 3:20 p.m.