Triple
T30169319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burnaburiash II |
E766873
|
entity |
| Predicate | ruleCharacterizedBy |
P151157
|
FINISHED |
| Object | Active international diplomacy |
—
|
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: Active international diplomacy | Statement: [Burnaburiash II, ruleCharacterizedBy, Active international diplomacy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ruleCharacterizedBy Context triple: [Burnaburiash II, ruleCharacterizedBy, Active international diplomacy]
-
A.
ruleCharacterization
Indicates that one rule is described, defined, or characterized in terms of another rule or set of rules.
-
B.
characterizedBy
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
C.
ruleCharacteristics
Indicates the defining properties, constraints, or parameters that specify how a particular rule operates or should be applied.
-
D.
rulesCharacteristic
Indicates that one entity establishes or defines a characteristic, property, or feature that another entity must follow or conform to.
-
E.
eraOfRuleCharacterizedBy
chosen
Indicates a relationship where a specific era of rule is defined or distinguished by particular characteristics, conditions, or features.
- 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_69f2247a968881909d79c18f2bfcb275 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67f0a5f588190930a23b8a8a5aff9 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:24 p.m.