Triple
T35798514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paphlagonians |
E1034899
|
entity |
| Predicate | ethnicNameLanguage |
P58738
|
FINISHED |
| Object | Greek exonym "Paphlagones" |
—
|
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: Greek exonym "Paphlagones" | Statement: [Paphlagonians, ethnicNameLanguage, Greek exonym "Paphlagones"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicNameLanguage Context triple: [Paphlagonians, ethnicNameLanguage, Greek exonym "Paphlagones"]
-
A.
peopleNameLanguageFamily
Indicates that a person’s name belongs to or is derived from a particular language family.
-
B.
eraNameLanguage
Indicates the language in which an era name is expressed or recorded.
-
C.
languageOfNamesake
Indicates the language in which the namesake of an entity (such as a person, place, or object) is named or expressed.
-
D.
ethnonymInLanguage
chosen
Indicates that a given term is the name used in a specified language to refer to the people of a particular ethnic group or nationality.
-
E.
ethnicGroupLanguageOf
Indicates that a particular language is spoken by, associated with, or characteristic of a given ethnic group.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: May 3, 2026, 4:06 p.m.