Triple
T32776891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aversa |
E838231
|
entity |
| Predicate | historicInfluence |
P12632
|
FINISHED |
| Object | Norman rule |
—
|
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: Norman rule | Statement: [Aversa, historicInfluence, Norman rule]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicInfluence Context triple: [Aversa, historicInfluence, Norman rule]
-
A.
historicalImpact
Indicates the influence or lasting effects that an entity, event, or action has had on subsequent history or historical developments.
-
B.
heritageInfluence
Indicates how one entity’s cultural, historical, or ancestral background affects or shapes another entity’s characteristics, behavior, or development.
-
C.
hasHistoricalImplicationsFor
Indicates that something influences, shapes, or significantly affects the course, interpretation, or understanding of history for something else.
-
D.
hasHistoricalInfluenceFrom
chosen
Indicates that one entity’s characteristics, development, or significance have been shaped or affected by the past actions, ideas, or legacy of another entity.
-
E.
facedHistoricalImpact
Indicates that an entity has experienced or been subjected to a significant influence, consequence, or change resulting from historical events or processes.
- 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_69f3493a824c8190938489ba69041d08 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ffb69812808190a751853b30183e65 |
completed | May 9, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69ffb63bdda88190a9dd8426dc0bad43 |
completed | May 9, 2026, 10:33 p.m. |
Created at: May 1, 2026, 1:13 a.m.