Triple
T17473486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itäkeskus station |
E425476
|
entity |
| Predicate | line |
P1293
|
FINISHED |
| Object | M2 |
—
|
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: M2 | Statement: [Itäkeskus station, line, M2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M2 Context triple: [Itäkeskus station, line, M2]
-
A.
M2
M2 was the original name of MTV2, a U.S. cable television channel that focused on music videos and youth-oriented programming.
-
B.
M2
M2 is a boat line that operates as part of Geneva’s public transport network, providing passenger services across the city’s waters.
-
C.
M2
M2 is a major motorway in Northern Ireland that forms part of the key route connecting Belfast with the northern part of the country.
-
D.
M2
M2 is one of the main lines of the Budapest Metro, running east–west across the city and connecting several key transport hubs.
-
E.
M2
chosen
M2 is one of the main metro lines in Helsinki’s public transportation system, serving key districts across the city and its surrounding areas.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451b990848190b2e8510d67e94b79 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.