Triple
T13550537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordal Amfi |
E323631
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Jordal |
E1067401
|
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: Jordal | Statement: [Jordal Amfi, namedAfter, Jordal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jordal Context triple: [Jordal Amfi, namedAfter, Jordal]
-
A.
Jordal
chosen
Jordal is a neighborhood in Oslo, Norway, known for its sports facilities and ice hockey heritage.
-
B.
Kvernes
Kvernes is a village and historic parish area in Averøy Municipality in Møre og Romsdal county, Norway, known for its cultural heritage and scenic coastal landscape.
-
C.
Andørja
Andørja is a mountainous island in northern Norway known for its deep fjords and scenic Arctic landscapes.
-
D.
Nesset
Nesset is a former municipality in western Norway known for its scenic fjord landscapes and rural communities.
-
E.
Finnsnes
Finnsnes is a small coastal town in northern Norway that serves as a commercial and transport hub for the island municipality of Senja.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaff0a6548190b8cde5084cef0061 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce5ecad88190b7c8236969d9abc7 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 9:46 p.m.