Triple
T17732230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osen |
E442614
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Flatanger |
—
|
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: Flatanger | Statement: [Osen, borderedBy, Flatanger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flatanger Context triple: [Osen, borderedBy, Flatanger]
-
A.
Flatanger
chosen
Flatanger is a coastal municipality in Trøndelag county, Norway, known for its rugged coastline, fishing communities, and popular rock-climbing cliffs.
-
B.
Fluberg
Fluberg is a small village in Norway located near the shores of Randsfjorden, known for its rural landscape and lakeside setting.
-
C.
Oberfell
Oberfell is a small municipality in western Germany situated along the Moselle River within the state of Rhineland-Palatinate.
-
D.
Tackley
Tackley is a rural village in Oxfordshire, England, known for its traditional English countryside setting and historic character.
-
E.
Binnaway
Binnaway is a small rural town in the Orana region of New South Wales, Australia, known for its agricultural surroundings and historic railway connections.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e7773081909dadb90ff5cb0906 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 10:08 a.m.