Triple
T1922034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kosciusko, Mississippi |
E40143
|
entity |
| Predicate | hasNamedForLanguage |
P27865
|
FINISHED |
| Object | Polish surname Kościuszko |
—
|
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: Polish surname Kościuszko | Statement: [Kosciusko, Mississippi, hasNamedForLanguage, Polish surname Kościuszko]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNamedForLanguage Context triple: [Kosciusko, Mississippi, hasNamedForLanguage, Polish surname Kościuszko]
-
A.
hasNameInLocalLanguage
Indicates that an entity is associated with a name expressed in the local or native language of a given context or region.
-
B.
hasEnglishName
Indicates that an entity is associated with a name expressed in the English language.
-
C.
hasFamilyNameInLanguage
chosen
Indicates that an entity has a specific family name as expressed or written in a particular language.
-
D.
hasCodenameLanguage
Indicates that a codename is expressed or defined in a particular language.
-
E.
hasGlottologName
Indicates that an entity is associated with a specific name as recorded in the Glottolog linguistic database.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb233011881908736523d36f01b0c |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafed2ab481908920334e77b1021b |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.