Triple
T21987467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rodolpho |
E543000
|
entity |
| Predicate | isSubjectOfTheme |
P52935
|
FINISHED |
| Object | immigration |
—
|
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: immigration | Statement: [Rodolpho, isSubjectOfTheme, immigration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSubjectOfTheme Context triple: [Rodolpho, isSubjectOfTheme, immigration]
-
A.
mayBeSubjectOf
chosen
Indicates that an entity has the potential or possibility to serve as the subject in a given relation, event, or statement.
-
B.
followsInTheme
Indicates that one element continues or succeeds another while maintaining the same theme or thematic context.
-
C.
immediateSubjectOf
Indicates that one entity is the direct grammatical subject of another entity (typically a clause, phrase, or verb), without any intervening subject relations.
-
D.
subjectOfCatalog
Indicates that something is the primary focus or entry described within a catalog or cataloging record.
-
E.
titleSubjectOf
Indicates that a title (such as a book, article, or work) is about or primarily concerns a particular subject.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270ad0d48190bd822289ce18195c |
completed | April 28, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:04 p.m.