Triple
T36451814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Londoners |
E898030
|
entity |
| Predicate | culturallyDiverse |
P89769
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Londoners, culturallyDiverse, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: culturallyDiverse Context triple: [Londoners, culturallyDiverse, true]
-
A.
culturalVariation
Indicates that there are differences in practices, beliefs, or expressions between cultures or within a culture across groups, contexts, or time.
-
B.
hasCulturalPerspective
Indicates a relationship where something is understood, interpreted, or presented from a particular cultural viewpoint or frame of reference.
-
C.
hasDistinctCulturalHeritage
Indicates that an entity possesses a unique cultural background, traditions, or practices that distinguish it from other entities.
-
D.
culturalSensitivity
Indicates that one entity demonstrates awareness of, respect for, and appropriate responsiveness to the cultural norms, values, and practices associated with another entity.
-
E.
hasMulticulturalTradition
chosen
Indicates that an entity possesses customs, practices, or heritage derived from or influenced by multiple cultural backgrounds.
- 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_69f76e57f08481908593bd0bc34581c8 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: May 3, 2026, 4:10 p.m.