Triple
T23161696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallentuna station |
E578601
|
entity |
| Predicate | fareZone |
P844
|
FINISHED |
| Object | SL zone C |
—
|
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: SL zone C | Statement: [Vallentuna station, fareZone, SL zone C]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SL zone C Context triple: [Vallentuna station, fareZone, SL zone C]
-
A.
SL zone C
chosen
SL zone C is one of the outer public transport fare zones in the Stockholm region, covering suburban and outlying areas beyond the central city.
-
B.
SL zone B
SL zone B is one of Stockholm's public transport fare zones covering suburban areas outside the city center, including stations like Handen.
-
C.
SL zone A
SL zone A is the central public transport fare zone in Stockholm County, covering the innermost parts of the region including central Stockholm.
-
D.
Zone C2
Zone C2 is an outer fare zone within the Madrid public transport network used to determine ticket prices and travel validity.
-
E.
Main Zone
The Main Zone is a major stratigraphic layer within South Africa’s Bushveld Igneous Complex, characterized by thick sequences of mafic intrusive rocks that overlie the Critical Zone.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f019cd881908e3c68d99454da2a |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:02 p.m.