Triple
T31551641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Amana |
E805018
|
entity |
| Predicate | foundedByEthnicGroup |
P107662
|
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: [High Amana, foundedByEthnicGroup, German immigrants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedByEthnicGroup Context triple: [High Amana, foundedByEthnicGroup, German immigrants]
-
A.
hasFounderEthnicity
Indicates that an entity has a founder whose ethnicity is the specified value.
-
B.
foundedByCitizenOf
Indicates that an entity (such as an organization, institution, or settlement) was established by a founder who is a citizen of a specified country or state.
-
C.
foundingEthnicGroups
chosen
Indicates the ethnic groups that originally established or played a primary role in founding an entity, such as a country, organization, or settlement.
-
D.
possiblyFoundedBy
Indicates that an entity may have been founded or established by another entity, but this founding relationship is uncertain or not definitively confirmed.
-
E.
founded by
Indicates that an entity was established or created through the initiative, actions, or leadership of another entity.
- 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_69f348d22e088190ad555d5bd42f9da0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
Created at: April 30, 2026, 10:11 p.m.