Triple
T15693759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Moster Church |
E380401
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mosterhamn |
E1170719
|
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: Mosterhamn | Statement: [Old Moster Church, near, Mosterhamn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mosterhamn Context triple: [Old Moster Church, near, Mosterhamn]
-
A.
Mosterhamn
chosen
Mosterhamn is a coastal village in Vestland county, Norway, known for its maritime heritage and historic church site.
-
B.
Holmsund
Holmsund is a coastal locality in northern Sweden, known as a port town near Umeå on the Gulf of Bothnia.
-
C.
Finnhamn
Finnhamn is a popular island destination in the Stockholm archipelago known for its natural scenery, guest harbor, and outdoor recreation opportunities.
-
D.
Steenodde
Steenodde is a small coastal village on the North Sea island of Amrum in Germany, known for its tranquil atmosphere and maritime surroundings.
-
E.
Eiderstedt
Eiderstedt is a low-lying peninsula on Germany’s North Sea coast known for its dike-protected marshlands, agriculture, and coastal tourism.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4f5a888190bd3681bcb9bbc02f |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa9341a0c81909057dc338f218b85 |
completed | May 9, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:44 a.m.