Triple
T11116852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany–United States relations |
E262907
|
entity |
| Predicate | earlyContact |
P97039
|
FINISHED |
| Object | immigration of Germans to the Thirteen Colonies |
—
|
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 of Germans to the Thirteen Colonies | Statement: [Germany–United States relations, earlyContact, immigration of Germans to the Thirteen Colonies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlyContact Context triple: [Germany–United States relations, earlyContact, immigration of Germans to the Thirteen Colonies]
-
A.
contactWith
Indicates that two entities are in direct or indirect physical or communicative interaction or touch with each other.
-
B.
contactLanguageWith
Indicates that two entities communicate with each other using a particular language as the medium of contact.
-
C.
consultationMethod
Indicates the way or medium through which a consultation is conducted or delivered.
-
D.
appointmentMethod
Indicates how an appointment is arranged, such as the channel, process, or means used to schedule it.
-
E.
technicalContact
Indicates that one entity serves as the primary point of contact for technical issues, support, or maintenance related to another entity.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79aa81d8c81908a387b56cbcc9128 |
completed | April 9, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69d7441cf8188190b8095f622c923156 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750cb26f48190a134614d0aa8e283 |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:27 p.m.