Triple
T21763962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masmo metro station |
E537230
|
entity |
| Predicate | fareZone |
P844
|
FINISHED |
| Object | SL zone A |
—
|
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 A | Statement: [Masmo metro station, fareZone, SL zone A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SL zone A Context triple: [Masmo metro station, fareZone, SL zone A]
-
A.
SL zone A
chosen
SL zone A is the central public transport fare zone in Stockholm County, covering the innermost parts of the region including central Stockholm.
-
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 C
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.
-
D.
Zona A
Zona A was the Allied-administered western sector of the Free Territory of Trieste, encompassing the city of Trieste and surrounding areas after World War II.
-
E.
Zone A
Zone A is the central fare zone of Madrid’s public transport system, covering the city’s core urban area and most of its main metro and bus services.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031a8a7f08190a4e50ebc24219585 |
completed | April 28, 2026, 4:03 a.m. |
Created at: April 16, 2026, 6:51 p.m.