Triple
T7128453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solvang |
E166125
|
entity |
| Predicate | hasDanishNameMeaning |
P75016
|
FINISHED |
| Object | sunny field |
—
|
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: sunny field | Statement: [Solvang, hasDanishNameMeaning, sunny field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDanishNameMeaning Context triple: [Solvang, hasDanishNameMeaning, sunny field]
-
A.
hasNameInDanish
Indicates that an entity is associated with a specific name expressed in the Danish language.
-
B.
hasEnglishNameMeaning
Indicates that an entity is associated with an English-language name along with the meaning or semantic interpretation of that name.
-
C.
hasGivenNameMeaning
Indicates that a given name carries a particular meaning or semantic interpretation.
-
D.
hasGaelicNameMeaning
Indicates that an entity’s Gaelic name carries a specific meaning or translation.
-
E.
hasNameInNorwegian
Indicates that an entity is associated with a specific name expressed in the Norwegian language.
- F. None of above. chosen
Provenance (4 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e66b230c819090ddbc5396868305 |
completed | March 27, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c7289881909f3b533c384f9ed4 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a213508190a40aca39f9eee7d5 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:44 p.m.