Triple
T3505715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constitution of the United Kingdom |
E74069
|
entity |
| Predicate | influencedOther |
P45664
|
FINISHED |
| Object | constitutional systems of many Commonwealth countries |
—
|
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: constitutional systems of many Commonwealth countries | Statement: [Constitution of the United Kingdom, influencedOther, constitutional systems of many Commonwealth countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedOther Context triple: [Constitution of the United Kingdom, influencedOther, constitutional systems of many Commonwealth countries]
-
A.
influenced
Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
-
B.
influencedPerson
Indicates that one entity has affected, shaped, or guided the thoughts, behavior, or development of another person.
-
C.
influencedNameOf
Indicates that one entity has affected or shaped the naming or choice of name of another entity.
-
D.
hadInfluenceOn
chosen
Indicates that one entity affected, shaped, or contributed to the development, behavior, or characteristics of another entity.
-
E.
influencedWork
Indicates that one work has had a significant impact on the creation, style, content, or development of another work.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbf38e988190998d722b95830411 |
completed | March 8, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69adae0e770481908528fa35eda53003 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.