Triple
T1595448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kattegat |
E34271
|
entity |
| Predicate | hasCoastlineOn |
P212
|
FINISHED |
| Object | Zealand |
E38167
|
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: Zealand | Statement: [Kattegat, hasCoastlineOn, Zealand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zealand Context triple: [Kattegat, hasCoastlineOn, Zealand]
-
A.
Zealand
chosen
Zealand is the largest and most populous island of Denmark, home to the capital city Copenhagen and a central hub of the country’s cultural and economic life.
-
B.
Vestland
Vestland is a county in western Norway known for its dramatic fjords, coastal landscapes, and the city of Bergen.
-
C.
Zuidland
Zuidland is a village in the western Netherlands, located in the province of South Holland.
-
D.
Hollandia
Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
-
E.
New Zealand
New Zealand is an island country in the southwestern Pacific Ocean known for its dramatic landscapes, indigenous Māori culture, and advanced, stable democracy.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9092ccb388190b2f3ed86b3853651 |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad608dfc688190a81a502c810f67fb |
completed | March 8, 2026, 11:42 a.m. |
Created at: March 4, 2026, 7:27 p.m.