Triple
T34412041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zú Bhaile Átha Cliath |
E883298
|
entity |
| Predicate | nameInLanguageOf |
P21937
|
FINISHED |
| Object | Dublin Zoo |
—
|
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: Dublin Zoo | Statement: [Zú Bhaile Átha Cliath, nameInLanguageOf, Dublin Zoo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameInLanguageOf Context triple: [Zú Bhaile Átha Cliath, nameInLanguageOf, Dublin Zoo]
-
A.
nameInOriginalLanguage
Indicates that an entity’s name is given in its original or native language form.
-
B.
languageOfWorkOrName
Indicates the language in which a work is created or a name is expressed.
-
C.
hasNameInLocalLanguage
chosen
Indicates that an entity is associated with a name expressed in the local or native language of a given context or region.
-
D.
nameInLanguageRomanization
Indicates that an entity’s name is represented in the romanized (Latin-script) form of a particular language.
-
E.
languageOfNamesake
Indicates the language in which the namesake of an entity (such as a person, place, or object) is named or expressed.
- 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f727bde8f88190ad746ca515134ca1 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72739c30c81908642eef3feb3afcf |
completed | May 3, 2026, 10:45 a.m. |
Created at: May 1, 2026, 1:59 a.m.