Triple
T33578394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You Have to Be There |
E860087
|
entity |
| Predicate | notableLanguageVersion |
P89602
|
FINISHED |
| Object | Swedish version Du måste finnas |
—
|
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: Swedish version Du måste finnas | Statement: [You Have to Be There, notableLanguageVersion, Swedish version Du måste finnas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableLanguageVersion Context triple: [You Have to Be There, notableLanguageVersion, Swedish version Du måste finnas]
-
A.
languageVersions
Indicates a relationship where one entity represents a specific version or variant of a language associated with another entity.
-
B.
languageVersionTitle
Indicates the title or name assigned to a specific version or edition of a language.
-
C.
notableVersionType
chosen
Indicates that one version of an entity is recognized as particularly significant or noteworthy relative to other versions.
-
D.
languageOfPopularVersion
Indicates the language in which the popular or widely used version of something (e.g., a work or resource) is expressed.
-
E.
notableVersionFeatures
Indicates that a particular version of something is associated with specific noteworthy features or characteristics.
- 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_69f3497d37848190afcbb5ef3f5c7376 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f505c88190ac0879ab422c3054 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:40 a.m.