Triple
T23518539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noboa family |
E574434
|
entity |
| Predicate | hasMemberWhoWas |
P34269
|
FINISHED |
| Object | presidential candidate in Ecuador |
—
|
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: presidential candidate in Ecuador | Statement: [Noboa family, hasMemberWhoWas, presidential candidate in Ecuador]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemberWhoWas Context triple: [Noboa family, hasMemberWhoWas, presidential candidate in Ecuador]
-
A.
hasMemberWhoBecame
Indicates that a group or organization includes at least one member who later attained or transitioned into a specified role, status, or affiliation.
-
B.
hadMember
Indicates that an entity was formerly a member or part of another entity or group.
-
C.
hasMemberInvolvedIn
chosen
Indicates that a group or collective entity has at least one of its members participating in or engaged with a specified activity, event, or situation.
-
D.
hasMemberFrom
Indicates that a group, organization, or collection includes at least one member originating from or belonging to a specified source, place, or category.
-
E.
hasMembers
Indicates that a group, organization, or collection includes certain entities as its members.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa83c538819096bc548e3e0ddbd0 |
completed | April 29, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69f0621165c08190a0b27b1319733959 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:08 p.m.