Triple
T8592681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meilahti Arboretum |
E203466
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Meilahti |
E203464
|
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: Meilahti | Statement: [Meilahti Arboretum, locatedIn, Meilahti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meilahti Context triple: [Meilahti Arboretum, locatedIn, Meilahti]
-
A.
Meilahti
chosen
Meilahti is a district in Helsinki, Finland, known for its major hospital complex, university facilities, and coastal residential areas.
-
B.
Terjola
Terjola is a small city in western Georgia known for its location in the Imereti region and its surrounding wine-producing areas.
-
C.
Pelinna
Pelinna was an ancient city in Thessaly, Greece, notable as an archaeological site where Orphic gold tablets associated with mystery cult funerary practices were discovered.
-
D.
Harjola
Harjola is a Finnish surname, notably borne by film director Renny Harlin (born Lauri Mauritz Harjola).
-
E.
Marttila
Marttila is a small rural municipality in southwestern Finland known for its agricultural landscape and tranquil countryside.
- 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4668b49481908838579e9876c1ec |
completed | March 31, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebb9ef3ac819098810294e6bc34a7 |
completed | April 2, 2026, 6:55 p.m. |
Created at: March 30, 2026, 6:23 p.m.