Triple
T27124185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Stone House (Rowan County, North Carolina) |
E687078
|
entity |
| Predicate | builderEthnicity |
P147216
|
FINISHED |
| Object | German immigrant community |
—
|
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 immigrant community | Statement: [Old Stone House (Rowan County, North Carolina), builderEthnicity, German immigrant community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: builderEthnicity Context triple: [Old Stone House (Rowan County, North Carolina), builderEthnicity, German immigrant community]
-
A.
creatorEthnicGroup
chosen
Indicates that an entity was created by a person or group belonging to a specified ethnic group.
-
B.
builderNationality
Indicates the country or national affiliation of the entity that built or constructed another entity.
-
C.
EthnicaType
Indicates a relationship where an entity is classified according to a specific ethnic category or type.
-
D.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
E.
sharesEthnicity
Indicates that two entities belong to the same ethnic group or share the same ethnic background.
- 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_69ef148c2b588190afc15b529f7af845 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 9 a.m.