Triple
T25669789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uchihara |
E643633
|
entity |
| Predicate | hasCulturalExchangeWith |
P148653
|
FINISHED |
| Object | Germany |
—
|
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: Germany | Statement: [Uchihara, hasCulturalExchangeWith, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCulturalExchangeWith Context triple: [Uchihara, hasCulturalExchangeWith, Germany]
-
A.
hasCulturalRelation
Indicates a relationship in which entities are connected through shared, influencing, or interacting cultural practices, values, traditions, or expressions.
-
B.
haveCulturalExchangeAgreements
chosen
Indicates that two entities are formally engaged in mutual cultural exchange through established agreements or partnerships.
-
C.
culturalInteraction
Indicates interactions or exchanges between entities that involve cultural practices, values, expressions, or influences.
-
D.
hasFriendshipPactWith
Indicates a mutual agreement or bond of friendship established between two entities.
-
E.
sharesCountryWith
Indicates that two entities are located in, originate from, or are otherwise associated with the same country.
- 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_69e77e7f69808190ad27df1006f6037a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 21, 2026, 7:25 p.m.