Triple
T2560989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Brazilians |
E57240
|
entity |
| Predicate | firstMajorColonyFoundationYear |
P40480
|
FINISHED |
| Object | 1824 |
—
|
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: 1824 | Statement: [German Brazilians, firstMajorColonyFoundationYear, 1824]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMajorColonyFoundationYear Context triple: [German Brazilians, firstMajorColonyFoundationYear, 1824]
-
A.
colonyFounded
Indicates that an entity established or created a colony at a particular time or place.
-
B.
firstPermanentFrenchSettlementFoundedInYear
Indicates the year in which the first permanent French settlement was founded in a given place.
-
C.
wasFirstPermanentEuropeanSettlementInAmericasFor
Indicates that one entity served as the first permanent European settlement in the Americas for another specified entity (such as a country, region, or group).
-
D.
firstSettlersArrived
Indicates that the earliest group of settlers reached or came to a particular place or region.
-
E.
formerColonyEstablishedIn
Indicates that a former colony was originally established in a specified year or time period.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd35c6ee88190b6eaa1841d3e99a4 |
completed | March 7, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69abd0caeb488190b0dd8e48d0f2777d |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd35b216881908f4ef32d1c1e5080 |
completed | March 7, 2026, 7:27 a.m. |
Created at: March 6, 2026, 9:48 p.m.