Triple
T20720808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Train of the Stars |
E509304
|
entity |
| Predicate | railroadBrand |
P39149
|
FINISHED |
| Object | Santa Fe |
—
|
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: Santa Fe | Statement: [Train of the Stars, railroadBrand, Santa Fe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Fe Context triple: [Train of the Stars, railroadBrand, Santa Fe]
-
A.
Santa Fe
Santa Fe is a barangay (village-level administrative division) located in the municipality of San Felipe in the province of Zambales, Philippines.
-
B.
Santa Fe
Santa Fe is a town on Cuba’s Isla de la Juventud, known as one of the island’s principal local settlements.
-
C.
Santa Fe
chosen
Santa Fe was a major American railroad company that played a key role in the development and transportation infrastructure of the western United States.
-
D.
Santa Fe
Santa Fe is the capital city of New Mexico, known for its Pueblo-style architecture, vibrant arts scene, and rich blend of Native American and Spanish colonial history.
-
E.
Santa Fe
"Santa Fe" is a key ballad from the stage musical Newsies that expresses the protagonist Jack Kelly’s yearning to escape New York City for a freer life in the West.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1d5eec08190832ffba8a90f3076 |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:26 p.m.