Triple
T22557912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany and Italy |
E557735
|
entity |
| Predicate | haveRichCulturalHistories |
P87384
|
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: [Germany and Italy, haveRichCulturalHistories, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveRichCulturalHistories Context triple: [Germany and Italy, haveRichCulturalHistories, true]
-
A.
hasCulturalLegacyIn
Indicates that an entity has left a lasting cultural influence, impact, or heritage within a particular place, community, or cultural context.
-
B.
historicallyRich
chosen
Indicates that an entity possesses significant historical depth, importance, or a wealth of notable past events and heritage.
-
C.
hasCulturalHeritageOn
Indicates that one entity possesses, preserves, or is associated with the cultural heritage embodied in another entity.
-
D.
hasCulturalSignificanceFor
Indicates that something holds particular cultural meaning, value, or importance for a specified group or community.
-
E.
hasCulturalSignificance
Indicates that something holds notable meaning, value, or importance within a particular culture or cultural context.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7b06e08190b3ca82a783965942 |
completed | April 29, 2026, 1:31 a.m. |
| PD | Predicate disambiguation | batch_69e898cb3fb48190add6ab24a2df5822 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:52 p.m.