Triple
T29228945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Embassy, Rome (competition entry involvement) |
E741011
|
entity |
| Predicate | hasLanguageOfDesignDocumentation |
P42636
|
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: [British Embassy, Rome (competition entry involvement), hasLanguageOfDesignDocumentation, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageOfDesignDocumentation Context triple: [British Embassy, Rome (competition entry involvement), hasLanguageOfDesignDocumentation, English]
-
A.
languageOfDocumentation
chosen
Indicates the language in which the documentation for an entity is written or provided.
-
B.
hasDesignLanguage
Indicates that one entity employs, follows, or is characterized by the design language specified by another entity.
-
C.
hasLinguisticDocumentation
Indicates that there exists recorded linguistic information or documentation about the language or linguistic properties of the subject.
-
D.
hasLanguageOfOfficialPlanningDocuments
Indicates that an entity uses a specified language in its official planning documents.
-
E.
languageOfSupportMaterials
Indicates the language in which support or help materials are provided or made available.
- 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_69f07cbb12bc81908c1971d9de9a8d2a |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: April 28, 2026, 12:17 p.m.