Triple
T253448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union of South American Nations |
E5385
|
entity |
| Predicate | typeOfIntegration |
P8841
|
FINISHED |
| Object | political integration |
—
|
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: political integration | Statement: [Union of South American Nations, typeOfIntegration, political integration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfIntegration Context triple: [Union of South American Nations, typeOfIntegration, political integration]
-
A.
integrates
Indicates that one entity combines or brings together another entity or set of entities into a unified, functioning whole.
-
B.
typeOfSupport
Indicates the kind or category of assistance, help, or backing provided in a given context.
-
C.
connectorType
Indicates the specific kind or category of connection interface that links two entities.
-
D.
integrationDate
Indicates the date on which two or more entities, systems, or components are combined or brought into a unified whole.
-
E.
engagementType
Indicates the specific kind or category of engagement or interaction that occurs between the related entities.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d5331b48190b3797fece8e60e20 |
completed | Feb. 28, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69a25b678d6c81909780e1995c1ca691 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c2ca46c81908c61696f31e59a98 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.