Triple
T27088413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tintin in America |
E686095
|
entity |
| Predicate | languageOfFirstEnglishEdition |
P43395
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Tintin in America, languageOfFirstEnglishEdition, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfFirstEnglishEdition Context triple: [Tintin in America, languageOfFirstEnglishEdition, English]
-
A.
firstEditionLanguage
Indicates the language in which a work was originally published in its first edition.
-
B.
firstEuropeanPublicationLanguage
Indicates the language in which an entity was first published in Europe.
-
C.
languageOfOfficialEditions
Indicates the language in which the official editions or versions of a work, document, or publication are produced or authorized.
-
D.
hasEnglishEdition
chosen
Indicates that one entity has a version or edition of itself that is produced or available in the English language.
-
E.
hasLanguageEditionOf
Indicates that one resource is a language-specific edition or version of another, more general resource.
- 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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: April 27, 2026, 8:39 a.m.