Triple
T34704923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Schleswig |
E1000474
|
entity |
| Predicate | historicalNameInDanish |
P202411
|
FINISHED |
| Object | Nordslesvig |
—
|
NE NERFINISHED |
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: Nordslesvig | Statement: [North Schleswig, historicalNameInDanish, Nordslesvig]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalNameInDanish Context triple: [North Schleswig, historicalNameInDanish, Nordslesvig]
-
A.
historicalNameInFinnish
Indicates that an entity has a historical name expressed in the Finnish language.
-
B.
historicalNameInEnglish
Indicates that an entity is associated with a historical English-language name by which it was known in the past.
-
C.
historicalNameGivenBy
Indicates that one entity is the name historically assigned to another entity by a specific source, culture, or period.
-
D.
isHistoricalName
Indicates that a given name is a former or past designation historically used for an entity.
-
E.
historicalNameInLatin
Indicates that an entity has a historically used name expressed in Latin.
- 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_69f76dab937881909c86f1b9ad50445f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a007aa8d3a481908543f9b5d562a90c |
completed | May 10, 2026, 12:31 p.m. |
| PD | Predicate disambiguation | batch_6a007a44996481908688ccfdbc56511d |
completed | May 10, 2026, 12:29 p.m. |
| PDg | Predicate description generation | batch_6a007aa82810819080bb16dd5022c324 |
completed | May 10, 2026, 12:31 p.m. |
Created at: May 3, 2026, 3:59 p.m.