Triple
T8700010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gallen-Kallela Museum |
E206505
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Seurasaari 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: Seurasaari Bay | Statement: [Gallen-Kallela Museum, locatedNear, Seurasaari Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seurasaari Bay Context triple: [Gallen-Kallela Museum, locatedNear, Seurasaari Bay]
-
A.
Laajalahti Bay
Laajalahti Bay is a coastal bay in Espoo, Finland, known for its bird-rich nature reserve and scenic shoreline near Helsinki.
-
B.
Töölönlahti Bay
chosen
Töölönlahti Bay is a scenic urban bay in central Helsinki, Finland, surrounded by parks, cultural landmarks, and walking paths.
-
C.
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.
-
D.
Savo Sound
Savo Sound is an area of ocean off Guadalcanal in the Solomon Islands that became infamous as a major naval battleground during World War II.
-
E.
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.
- 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_69ca83555b6c8190abe930dd397e863b |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58b27bd48190a5f76111ee657553 |
completed | March 31, 2026, 11:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28a0dd708190b12872883a2276c8 |
completed | April 3, 2026, 2:40 a.m. |
Created at: March 30, 2026, 6:34 p.m.