Triple
T14469436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pasila, Helsinki |
E358797
|
entity |
| Predicate | hasPublicTransportOperator |
P14525
|
FINISHED |
| Object | HSL |
E410284
|
NE FINISHED |
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 | Statement: [Pasila, Helsinki, hasPublicTransportOperator, HSL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HSL Context triple: [Pasila, Helsinki, hasPublicTransportOperator, HSL]
-
A.
HSL
chosen
HSL is the public transport authority responsible for planning and organizing bus, tram, metro, commuter rail, and ferry services in the Helsinki metropolitan area of Finland.
-
B.
HSL
HSL is the three-letter National Rail station code for Haslemere railway station in Surrey, England.
-
C.
HSL
HSL is a record label known for releasing music by the New Zealand rock band The Datsuns.
-
D.
HSB
HSB is a specialty insurance and engineering services company best known for its expertise in equipment breakdown coverage and risk management solutions.
-
E.
HSB
HSB is a historic narrow-gauge railway network in Germany’s Harz mountains, popular for its steam-powered tourist trains and scenic routes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91f969788190a5114f92d7159aae |
completed | April 14, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd649beec88190861abb52c5a2733e |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:20 a.m.