Triple
T20823731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bornholm Municipality |
E512640
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Hasle |
—
|
NE NERFINISHED |
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: Hasle | Statement: [Bornholm Municipality, containsSettlement, Hasle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hasle Context triple: [Bornholm Municipality, containsSettlement, Hasle]
-
A.
Hasle
chosen
Hasle is a small coastal town on the Danish island of Bornholm, known for its historic harbor, smoked herring, and scenic Baltic Sea surroundings.
-
B.
Haslum
Haslum is a suburban area in Bærum, Norway, known for its residential neighborhoods and proximity to Oslo.
-
C.
Hassel
Hassel is a Norwegian surname most notably borne by Nobel Prize–winning chemist Odd Hassel.
-
D.
Hassela
Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
-
E.
Hasselager
Hasselager is a residential neighborhood in the southern part of Aarhus, Denmark.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2fc0cd081909e264cda686579ea |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:41 p.m.