Triple
T31912874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schleswig, Iowa |
E814733
|
entity |
| Predicate | historicalImmigrantGroup |
P76422
|
FINISHED |
| Object | German immigrants |
—
|
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: German immigrants | Statement: [Schleswig, Iowa, historicalImmigrantGroup, German immigrants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalImmigrantGroup Context triple: [Schleswig, Iowa, historicalImmigrantGroup, German immigrants]
-
A.
historicalEthnicGroups
chosen
Indicates that there is a historically attested ethnic group or groups associated with the subject entity.
-
B.
ethnicGroupHelped
Indicates that one ethnic group provided assistance or support to another entity or group.
-
C.
ethnicGroupInFocus
Indicates that a particular ethnic group is the primary subject or focal point within a given context, relation, or description.
-
D.
ethnicGroupWorkedWith
Indicates that one ethnic group collaborated or worked together with another ethnic group in some context.
-
E.
historicalMinority
Indicates that an entity has been part of a group that has been numerically, politically, or socially subordinate within a society over a significant historical period.
- 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_69f348f109d88190b5005372c53d2fcd |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff6c061c6c81909ff485e9cafc88a2 |
completed | May 9, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ff6aaf886c8190a3c87d089453f3de |
completed | May 9, 2026, 5:11 p.m. |
Created at: May 1, 2026, 12:01 a.m.