Triple
T282500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reagan–Gorbachev summits |
E5382
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Reykjavik |
E28255
|
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: Reykjavik | Statement: [Reagan–Gorbachev summits, location, Reykjavik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reykjavik Context triple: [Reagan–Gorbachev summits, location, Reykjavik]
-
A.
Reykjavík, Iceland
chosen
Reykjavík, Iceland is the capital and largest city of Iceland, known for its vibrant cultural scene, geothermal pools, and role as the country’s political and economic center.
-
B.
Copenhagen
Copenhagen is the capital and largest city of Denmark, known for its historic architecture, vibrant cultural scene, and high quality of life.
-
C.
Tallinn
Tallinn is the capital and largest city of Estonia, a historic Baltic Sea port known for its well-preserved medieval Old Town and strategic maritime location.
-
D.
Oslo
Oslo is the capital and largest city of Norway, known as a major cultural, economic, and governmental center.
-
E.
Helsinki
Helsinki is the capital and largest city of Finland, known for its coastal location on the Baltic Sea, modern design, and vibrant cultural life.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25e0c14b48190a5c936bab36180b3 |
completed | Feb. 28, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3a3387b1c81909740dfe735efb399 |
completed | March 1, 2026, 2:23 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.