Triple
T14282169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schengen Borders Code |
E354075
|
entity |
| Predicate | harmonises |
P97243
|
FINISHED |
| Object | border control procedures in Schengen States |
—
|
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: border control procedures in Schengen States | Statement: [Schengen Borders Code, harmonises, border control procedures in Schengen States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: harmonises Context triple: [Schengen Borders Code, harmonises, border control procedures in Schengen States]
-
A.
hasHarmony
Indicates that two or more entities are in a state of balance, agreement, or pleasing coordination with one another.
-
B.
usesHarmonics
Indicates that one entity employs harmonic frequencies or overtones of another entity or signal as part of its operation or behavior.
-
C.
harmonicLanguage
Indicates a relationship where one entity uses or is characterized by a system of musical harmony or tonal organization associated with another entity.
-
D.
harmonizesDefinitionWith
Indicates that one entity adjusts or aligns its definition so that it is consistent and compatible with the definition used by another entity.
-
E.
uniformizes
chosen
Indicates making multiple entities or elements consistent, standardized, or uniform in form, appearance, or behavior.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697b5e8081908e5b91a3a1c55df9 |
completed | April 14, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:10 a.m.