Triple
T15331938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haugesunder |
E366555
|
entity |
| Predicate | spelledInBokmal |
P49479
|
FINISHED |
| Object | Haugesunder |
—
|
LITERAL 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: Haugesunder | Statement: [Haugesunder, spelledInBokmal, Haugesunder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spelledInBokmal Context triple: [Haugesunder, spelledInBokmal, Haugesunder]
-
A.
hasNameInNorwegian
Indicates that an entity is associated with a specific name expressed in the Norwegian language.
-
B.
hasOfficialNameInNorwegianBokmål
chosen
Indicates that an entity has an official name expressed in the Norwegian Bokmål language.
-
C.
officialNameInNorwegian
Indicates the officially recognized name of an entity when expressed in the Norwegian language.
-
D.
hasOfficialNameInNorwegianNynorsk
Indicates that an entity has an official name expressed in the Norwegian Nynorsk language.
-
E.
languageOnNorwegianSide
Indicates that something is expressed or presented in the language used on the Norwegian side of a border, context, or interaction.
- F. None of above.
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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0268608190947a58f559a67717 |
completed | April 16, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_69deca9659f48190b8661df223ce5078 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:17 a.m.