Triple
T24940593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sánchez Solano Jiménez |
E623440
|
entity |
| Predicate | regionOfNotableActivity |
P52790
|
FINISHED |
| Object | South America |
—
|
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: South America | Statement: [Sánchez Solano Jiménez, regionOfNotableActivity, South America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfNotableActivity Context triple: [Sánchez Solano Jiménez, regionOfNotableActivity, South America]
-
A.
area of activity
Indicates the domain, field, or sphere in which an entity is active or carries out its primary functions or operations.
-
B.
notableActivityIn
Indicates that an entity is particularly recognized for performing a significant activity within a specified place, context, or domain.
-
C.
notableOperationArea
chosen
Indicates the geographic area or region where an entity primarily conducts or is recognized for its significant operations or activities.
-
D.
notableTargetArea
Indicates that an action, effect, or focus is specifically directed toward a particularly important or prominent area or region.
-
E.
notableAreaWithin
Indicates that one area is a particularly significant or noteworthy part located inside another, larger area.
- 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_69e2fac6b5a48190a1c38857f00915a9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 18, 2026, 5:30 a.m.