Triple
T15751307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andselv |
E381850
|
entity |
| Predicate | locatedInValley |
P40
|
FINISHED |
| Object | Målselvdalen |
E385285
|
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: Målselvdalen | Statement: [Andselv, locatedInValley, Målselvdalen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Målselvdalen Context triple: [Andselv, locatedInValley, Målselvdalen]
-
A.
Målselvdalen
chosen
Målselvdalen is a scenic river valley in Troms, northern Norway, known for its agricultural landscape, surrounding mountains, and the Målselva river running through it.
-
B.
Kjølsdalen
Kjølsdalen is a small village in western Norway, situated in the municipality historically associated with Eid in Vestland county.
-
C.
Gauldalen
Gauldalen is a river valley and traditional district in central Norway known for its agricultural landscape and the Gaula River running through it.
-
D.
Sørkedalen
Sørkedalen is a rural valley area in the northwest of Oslo, Norway, known for its forests, farms, and outdoor recreation opportunities.
-
E.
Fyllingsdalen
Fyllingsdalen is a borough of Bergen, Norway, known as a residential district located southwest of the city center.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05030e31081908c307a8dc7067db4 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa9361f5c8190b68702154d05bbc2 |
completed | May 9, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:47 a.m.