Triple
T17616850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruoholahti station |
E429105
|
entity |
| Predicate | hasFareZone |
P844
|
FINISHED |
| Object | HSL 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: HSL zone A | Statement: [Ruoholahti station, hasFareZone, HSL zone A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HSL zone A Context triple: [Ruoholahti station, hasFareZone, HSL zone A]
-
A.
HSL AB zone
HSL AB zone is a central fare zone within the Helsinki region’s public transport system that covers the core urban area and determines ticket prices for journeys starting or ending there.
-
B.
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.
-
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.
HSL fare zones A
chosen
HSL fare zones A are the innermost public transport zones covering central Helsinki and its immediate surroundings within the Helsinki Regional Transport (HSL) system.
-
E.
Zone 1A
Zone 1A is a central MBTA subway fare zone in Boston that includes Park Street station and other core downtown stops.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d32991c81909801161b0a416c94 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.