Triple
T19858102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese Socialist Party |
E477186
|
entity |
| Predicate | hasGoverningExperience |
P58844
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Portuguese Socialist Party, hasGoverningExperience, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGoverningExperience Context triple: [Portuguese Socialist Party, hasGoverningExperience, yes]
-
A.
governingExperience
chosen
Indicates that an entity has experience in governing or exercising authority over others or over an organization, territory, or system.
-
B.
hasGoverningRole
Indicates that one entity holds an official position of authority, control, or governance over another entity or domain.
-
C.
hasGovernedWith
Indicates a relationship where two or more entities have jointly exercised governing authority or shared responsibility in ruling or managing a domain or organization.
-
D.
localGovernmentExperience
Indicates that an entity has held a role or performed duties within a local or municipal government context.
-
E.
hasPastExperience
Indicates that an entity has previously engaged in or undergone the specified activity, role, or situation in the past.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586dbbf0819089e7157d416aeaaf |
completed | April 20, 2026, 4:46 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.