Triple
T32697930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ringier Romania |
E836064
|
entity |
| Predicate | hasLocalEditionOf |
P133041
|
FINISHED |
| Object | Elle |
—
|
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: Elle | Statement: [Ringier Romania, hasLocalEditionOf, Elle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalEditionOf Context triple: [Ringier Romania, hasLocalEditionOf, Elle]
-
A.
hasLanguageEditionOf
Indicates that one resource is a language-specific edition or version of another, more general resource.
-
B.
hasEditionIn
Indicates that one entity has a specific edition or version that exists or is available in another entity (such as a particular format, language, or location).
-
C.
hasEditionAvailability
Indicates that a particular edition of an item is available in a specified form, location, or channel.
-
D.
hasEnglishEdition
Indicates that one entity has a version or edition of itself that is produced or available in the English language.
-
E.
hasLocalAnalogue
chosen
Indicates that one entity has a corresponding or comparable counterpart in a local or context-specific setting.
- 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_69f3493323288190a4e88251035fe96e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe21b0cba48190b56c39e9f1c0eafa |
completed | May 8, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69fe204576848190aecf204e2adba5dc |
completed | May 8, 2026, 5:41 p.m. |
Created at: May 1, 2026, 1:10 a.m.