Triple
T24684999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Europe/Paris |
E611256
|
entity |
| Predicate | governingBodyForDSTRules |
P18774
|
FINISHED |
| Object | French government |
—
|
NE NERFINISHED |
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: French government | Statement: [Europe/Paris, governingBodyForDSTRules, French government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingBodyForDSTRules Context triple: [Europe/Paris, governingBodyForDSTRules, French government]
-
A.
governingBodyForRules
chosen
Indicates that an entity serves as the official authority responsible for creating, maintaining, or enforcing a specified set of rules.
-
B.
governingJurisdictionForRules
Indicates the legal or regulatory jurisdiction under whose authority a given set of rules or regulations applies.
-
C.
followsDSTRulesOf
Indicates that one entity adheres to or complies with the decision support tool (DST) rules defined or used by another entity.
-
D.
governsBodyOfLaw
Indicates that one entity has authoritative control over the creation, interpretation, or enforcement of a particular body of law.
-
E.
governedDuringUseBy
Indicates that an entity is subject to the authority, control, or regulatory power of another entity specifically during the period in which it is being used.
- 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_69e2c4d678b081908910f4271627a31a |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 3:17 a.m.