Triple
T17339275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vorma |
E421021
|
entity |
| Predicate | hasNorwegianName |
P1435
|
FINISHED |
| Object | Vorma |
E421021
|
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: Vorma | Statement: [Vorma, hasNorwegianName, Vorma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vorma Context triple: [Vorma, hasNorwegianName, Vorma]
-
A.
Vorma
chosen
Vorma is a river in southeastern Norway that flows from Lake Mjøsa to the Glomma River and passes through the town of Eidsvoll.
-
B.
Nivala
Nivala is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and agricultural surroundings.
-
C.
Ninalla
Ninalla was the wife of Gudea, the prominent ruler (ensi) of the Sumerian city-state of Lagash in the late 3rd millennium BCE.
-
D.
Ahanta
The Ahanta are an Akan-related ethnic group of coastal Ghana known historically for their involvement in Atlantic trade and rich fishing and farming traditions.
-
E.
Osen
Osen is a small coastal municipality in Trøndelag county, Norway, known for its rugged coastline, fishing traditions, and scenic natural landscapes.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a14ec90819098db2ac0d58a53e1 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c56c8148190ab6e3e2eff09725e |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:44 a.m.