Triple
T22929719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Time Clock |
E569401
|
entity |
| Predicate | languageOfCityNames |
P24399
|
FINISHED |
| Object | German |
—
|
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: German | Statement: [World Time Clock, languageOfCityNames, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfCityNames Context triple: [World Time Clock, languageOfCityNames, German]
-
A.
modernCityNameLanguage
Indicates that the modern name of a city is expressed in a particular language.
-
B.
associatedCityNameTransliteration
Indicates that an entity is linked to a city whose name is given in a transliterated (phonetic or romanized) form.
-
C.
hasLanguageOfToponym
chosen
Indicates that a place name (toponym) is expressed in or associated with a particular language.
-
D.
nationalCapitalInLanguage
Indicates that the name of a national capital is expressed or represented in a specified language.
-
E.
countrySpecificName
Indicates that an entity has a name or label that is specific to, or used within, a particular country.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180dc33e8819099e5ad87207de57f |
completed | April 29, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:44 p.m.