Triple
T3627064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guillermo Lasso |
E76863
|
entity |
| Predicate | termShortenedBy |
P49623
|
FINISHED |
| Object | self-dissolution of National Assembly |
—
|
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: self-dissolution of National Assembly | Statement: [Guillermo Lasso, termShortenedBy, self-dissolution of National Assembly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termShortenedBy Context triple: [Guillermo Lasso, termShortenedBy, self-dissolution of National Assembly]
-
A.
abbreviationOfUser
Indicates that one entity is an abbreviated or shortened form of another entity associated with a user.
-
B.
bearerShortName
Indicates that an entity serves as the short or abbreviated name used to identify the bearer in the context of a relationship or action.
-
C.
abbreviationUsedFor
Indicates that a particular shortened form or acronym is used to represent or stand in for a longer term, name, or expression.
-
D.
ownerAbbreviation
Indicates that one entity is an abbreviated or shortened form of the name or designation of another entity that owns or is primarily associated with it.
-
E.
brandAbbreviation
Indicates that one brand name is an abbreviation or shortened form of another brand name.
- F. None of above. chosen
Provenance (4 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2dc011c8190a6596f4b483fb078 |
completed | March 8, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_69adb8410a5881909c94818d7060b2b0 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb902e61c81908f10494f828e260f |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:23 p.m.