Triple
T3673920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cum negotium |
E77943
|
entity |
| Predicate | reflectsApproachOf |
P3935
|
FINISHED |
| Object | legalistic governance |
—
|
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: legalistic governance | Statement: [Cum negotium, reflectsApproachOf, legalistic governance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reflectsApproachOf Context triple: [Cum negotium, reflectsApproachOf, legalistic governance]
-
A.
includesApproach
Indicates that one entity incorporates, utilizes, or is characterized by a particular method, strategy, or approach in relation to another entity or context.
-
B.
reflects
chosen
Indicates that one entity (often a surface, medium, or representation) throws back, mirrors, or otherwise shows an image, property, or state of another entity.
-
C.
approaches
Indicates that one entity moves closer in position or state to another entity or reference point.
-
D.
hasApproachType
Indicates the specific method, strategy, or manner in which an action, process, or interaction is carried out or approached.
-
E.
hasApproachStructure
Indicates that one entity possesses or includes an approach structure that provides access or a path leading to another entity.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc45fbd1c819099023791452f1beb |
completed | March 8, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69adb84a20288190a092e4a1b045fe3f |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.