Triple
T11130732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgium–Germany border |
E263271
|
entity |
| Predicate | hasIrregularity |
P27380
|
FINISHED |
| Object | complex course shaped by historical treaties |
—
|
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: complex course shaped by historical treaties | Statement: [Belgium–Germany border, hasIrregularity, complex course shaped by historical treaties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIrregularity Context triple: [Belgium–Germany border, hasIrregularity, complex course shaped by historical treaties]
-
A.
hasIrregularShape
chosen
Indicates that an entity possesses a form or outline that deviates from a regular, standard, or symmetrical shape.
-
B.
hasAberrationCharacteristics
Indicates that an entity exhibits traits or properties that deviate from what is considered normal, standard, or expected.
-
C.
hasAnomaly
Indicates that an entity exhibits, contains, or is associated with an irregular, abnormal, or unexpected condition or feature.
-
D.
meetsIrregularly
Indicates that two or more entities come together or interact on a non-fixed, inconsistent, or unpredictable schedule.
-
E.
hasRegularity
Indicates that one entity exhibits a consistent, recurring pattern or uniform behavior with respect to another entity or over time.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e831f4808190afabdaa0e97bbe32 |
completed | April 9, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69d75ce104908190b6cc31ef2f67846a |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.