Triple
T10428188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lier |
E245839
|
entity |
| Predicate | hasFjord |
P56784
|
FINISHED |
| Object | Drammensfjorden |
E461266
|
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: Drammensfjorden | Statement: [Lier, hasFjord, Drammensfjorden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drammensfjorden Context triple: [Lier, hasFjord, Drammensfjorden]
-
A.
Drammensfjord
chosen
Drammensfjord is a branch of the Oslofjord in southeastern Norway, known for its deep waters, surrounding industrial and urban areas, and role as an important maritime route.
-
B.
Eidsfjorden
Eidsfjorden is a Norwegian fjord known for its dramatic coastal scenery and traditional fishing communities.
-
C.
Oslofjord
Oslofjord is a large inlet in southeastern Norway known for its islands, coastal towns, and role as the maritime gateway to Oslo.
-
D.
Skudenesfjorden
Skudenesfjorden is a fjord in Rogaland county, southwestern Norway, lying along the coast by the island municipality of Karmøy and opening into the North Sea.
-
E.
Romsdalsfjorden
Romsdalsfjorden is a scenic fjord in Møre og Romsdal county, Norway, known for its dramatic landscapes, coastal towns, and role as a key waterway in the Romsdal region.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea4a7dcc81909a830e08656a1c0c |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbacad75b8819090657ab4335cebbc |
completed | April 12, 2026, 2:31 p.m. |
Created at: April 6, 2026, 12:13 p.m.