Triple
T1604906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piet Retief |
E34478
|
entity |
| Predicate | yearOfMajorMigration |
P30218
|
FINISHED |
| Object | 1837 |
—
|
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: 1837 | Statement: [Piet Retief, yearOfMajorMigration, 1837]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfMajorMigration Context triple: [Piet Retief, yearOfMajorMigration, 1837]
-
A.
majorImmigrationPeriod
Indicates that a time interval represents a significant period during which substantial immigration occurred.
-
B.
yearOfEmigration
Indicates the specific year in which an entity permanently left its country or place of origin to settle elsewhere.
-
C.
historicalPopulationMovement
Indicates the movement or migration of a population from one place to another during a specific historical period or event.
-
D.
transitionYear
Indicates the specific year in which a change, shift, or transition from one state, condition, or phase to another occurs.
-
E.
ageAtMigration
Indicates the age an individual was when they migrated from one place to another.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93fa6926081908bc78d15c0be3185 |
completed | March 5, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69a907c35f848190a2428c52e81d013e |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a93fa5aa04819084d1154ef900303f |
completed | March 5, 2026, 8:32 a.m. |
Created at: March 4, 2026, 7:28 p.m.