Triple
T8740594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Museum of Finland |
E207488
|
entity |
| Predicate | nearbyPlace |
P2064
|
FINISHED |
| Object | Töölönlahti Bay |
E413234
|
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: Töölönlahti Bay | Statement: [National Museum of Finland, nearbyPlace, Töölönlahti Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Töölönlahti Bay Context triple: [National Museum of Finland, nearbyPlace, Töölönlahti Bay]
-
A.
Töölönlahti Bay
chosen
Töölönlahti Bay is a scenic urban bay in central Helsinki, Finland, surrounded by parks, cultural landmarks, and walking paths.
-
B.
Laajalahti Bay
Laajalahti Bay is a coastal bay in Espoo, Finland, known for its bird-rich nature reserve and scenic shoreline near Helsinki.
-
C.
Onega Bay
Onega Bay is a large southern inlet of Russia’s White Sea, known for its numerous islands, shallow waters, and importance to regional fishing and navigation.
-
D.
Kalvfjärden Bay
Kalvfjärden Bay is a coastal inlet in the Stockholm archipelago of eastern Sweden, known for its natural shoreline and location within Tyresö Municipality.
-
E.
Edsviken Bay
Edsviken Bay is a narrow inlet of the Baltic Sea in the Stockholm area, known for its scenic waterfront, recreational areas, and proximity to several suburban municipalities.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d4a0cf481909c770cb39fd00fcd |
completed | March 31, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42e7176c819097e313ed8e8ceb06 |
completed | April 3, 2026, 4:32 a.m. |
Created at: March 30, 2026, 6:38 p.m.