Triple
T7780805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jade Bight |
E221509
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Hooksiel |
E647893
|
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: Hooksiel | Statement: [Jade Bight, borderedBy, Hooksiel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hooksiel Context triple: [Jade Bight, borderedBy, Hooksiel]
-
A.
Hooksiel
chosen
Hooksiel is a coastal village in northern Germany’s Wangerland region, known for its North Sea beaches, harbor, and proximity to the Wadden Sea.
-
B.
Harku
Harku is a small settlement in northern Estonia located within Harku Parish, near the capital city of Tallinn.
-
C.
Haukeli
Haukeli is a mountainous village area in southern Norway known as a key transit point and outdoor recreation destination, especially for skiing and hiking.
-
D.
Quatchi
Quatchi is a sasquatch character who served as one of the official mascots of the 2010 Winter Olympics in Vancouver.
-
E.
Hannut
Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
- 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69caa4d6cf9881909f5220437db13cc7 |
completed | March 30, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf5c1f20c81908ae2fc35550b91b5 |
completed | March 30, 2026, 10:14 p.m. |
Created at: March 30, 2026, 4:20 p.m.