Triple
T20798288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trønderbanen |
E511970
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Sparbu |
—
|
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: Sparbu | Statement: [Trønderbanen, hasStation, Sparbu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sparbu Context triple: [Trønderbanen, hasStation, Sparbu]
-
A.
Sparbu
chosen
Sparbu was a former rural municipality in Trøndelag county, Norway, that later became part of the town and municipality of Steinkjer.
-
B.
Spangereid
Spangereid is a coastal village in southern Norway known for its historic Spangereid Canal and rich Viking-age archaeological sites.
-
C.
Smedvig
Smedvig is a Norwegian family name most prominently associated with the Smedvig shipping and oil services business dynasty.
-
D.
Sparanero
Sparanero is the Italian family name of renowned actor Franco Nero, known for his iconic roles in Spaghetti Westerns and international cinema.
-
E.
Sperlinga
Sperlinga is a small medieval hill town in central Sicily, Italy, renowned for its ancient rock-hewn castle and houses carved into sandstone cliffs.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2ae2c4c819087f620df31dc1aba |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:39 p.m.