Triple
T2903435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ties |
E62704
|
entity |
| Predicate | translatedTitleLanguage |
P21151
|
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: [Ties, translatedTitleLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: translatedTitleLanguage Context triple: [Ties, translatedTitleLanguage, English]
-
A.
languageOfAlternativeTitle
Indicates the language in which an alternative or variant title of an entity is expressed.
-
B.
hasTitleInLanguage
Indicates that an entity has a specific title expressed in a particular language.
-
C.
originalLanguageTitle
Indicates the title of a work as it appears in its original language of creation or publication.
-
D.
translationTargetLanguage
chosen
Indicates the language into which content is being or has been translated.
-
E.
titleLanguageForm
Indicates the specific linguistic form or variant in which a title is expressed (e.g., language, script, or transliteration form).
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0b5546c8190852d9a454e41eee6 |
completed | March 7, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69abdd19bac881908f047d616aca8438 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:11 p.m.