Triple
T23954004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomainia |
E603727
|
entity |
| Predicate | countryNameStyle |
P154487
|
FINISHED |
| Object | Germanic-sounding name |
—
|
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: Germanic-sounding name | Statement: [Tomainia, countryNameStyle, Germanic-sounding name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryNameStyle Context triple: [Tomainia, countryNameStyle, Germanic-sounding name]
-
A.
countrySpecificName
Indicates that an entity has a name or label that is specific to, or used within, a particular country.
-
B.
countryNameLocal
Indicates the name of a country as expressed in its own local or official language.
-
C.
countryLabel
Indicates the name or label of the country associated with an entity.
-
D.
caseCountry
Indicates the country that has legal jurisdiction or is otherwise associated with a particular case.
-
E.
usedNameOfCountry
Indicates that one entity referred to or employed a particular name or designation for a country.
- 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_69e2954222288190a7323554d0cca8d7 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d0d558748190a51b5732a3e6713c |
completed | April 29, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 9:21 p.m.