Triple
T6688423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laugardalur |
E152159
|
entity |
| Predicate | country |
P26
|
FINISHED |
| Object | Iceland |
E8117
|
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: Iceland | Statement: [Laugardalur, country, Iceland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iceland Context triple: [Laugardalur, country, Iceland]
-
A.
Iceland
chosen
Iceland is a Nordic island nation in the North Atlantic known for its dramatic volcanic landscapes, geothermal activity, and high standard of living.
-
B.
Vozrozhdeniya Island
Vozrozhdeniya Island is a former island in the Aral Sea, notorious as a major Soviet biological weapons testing site and now largely connected to the mainland due to the sea’s shrinkage.
-
C.
Nordaustlandet island
Nordaustlandet island is the second-largest island in the Svalbard archipelago of Arctic Norway, known for its extensive ice caps, remote polar environment, and protected wilderness status.
-
D.
Slovanský Island
Slovanský Island is a small historic island in central Prague known for its cultural venues, scenic riverside views, and recreational spaces along the Vltava River.
-
E.
Grønland
Grønland is a central Oslo neighborhood known for its multicultural character, vibrant street life, and diverse shops and eateries.
- 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_69c687f9977c819097e7f5ada4fe522e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b14feb28819097bc157df8a2f96e |
completed | March 27, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7b31fa0819089c4debbbbce9d22 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:04 p.m.