Triple
T4098522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helsinki Metro |
E87880
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object |
Mellunmäki station
Mellunmäki station is an eastern Helsinki Metro station in the Mellunmäki district, notable for being one of the metro system’s outermost endpoints.
|
E418920
|
NE FINISHED |
How this triple was built (4 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: Mellunmäki station | Statement: [Helsinki Metro, terminus, Mellunmäki station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mellunmäki station Context triple: [Helsinki Metro, terminus, Mellunmäki station]
-
A.
Matinkylä station
Matinkylä station is a metro station in the Espoo district of Matinkylä that serves as a key western endpoint of the Helsinki Metro system.
-
B.
Kivenlahti station
Kivenlahti station is a western endpoint of the Helsinki Metro system serving the Kivenlahti district in Espoo, Finland.
-
C.
Vuosaari station
Vuosaari station is an eastern Helsinki Metro station serving the Vuosaari district as one of the line’s terminal endpoints.
-
D.
Santolan station
Santolan station is an elevated terminal station of Manila's LRT Line 2 serving commuters in the eastern part of Metro Manila, Philippines.
-
E.
Syosset station
Syosset station is a Long Island Rail Road commuter rail stop serving the community of Syosset in Nassau County, New York.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mellunmäki station Triple: [Helsinki Metro, terminus, Mellunmäki station]
Generated description
Mellunmäki station is an eastern Helsinki Metro station in the Mellunmäki district, notable for being one of the metro system’s outermost endpoints.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mellunmäki station Target entity description: Mellunmäki station is an eastern Helsinki Metro station in the Mellunmäki district, notable for being one of the metro system’s outermost endpoints.
-
A.
Matinkylä station
Matinkylä station is a metro station in the Espoo district of Matinkylä that serves as a key western endpoint of the Helsinki Metro system.
-
B.
Kivenlahti station
Kivenlahti station is a western endpoint of the Helsinki Metro system serving the Kivenlahti district in Espoo, Finland.
-
C.
Vuosaari station
Vuosaari station is an eastern Helsinki Metro station serving the Vuosaari district as one of the line’s terminal endpoints.
-
D.
Santolan station
Santolan station is an elevated terminal station of Manila's LRT Line 2 serving commuters in the eastern part of Metro Manila, Philippines.
-
E.
Syosset station
Syosset station is a Long Island Rail Road commuter rail stop serving the community of Syosset in Nassau County, New York.
- F. None of above. chosen
Provenance (5 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0bdea48190805a79515ee92709 |
completed | March 9, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589d825c48190b4208b0502c257bb |
completed | March 14, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69b58a46dba48190bfd28886bac93e99 |
completed | March 14, 2026, 4:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58aaa35dc8190aea37252c433dc01 |
completed | March 14, 2026, 4:19 p.m. |
Created at: March 9, 2026, 3:40 p.m.