Triple
T727098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaw |
E14750
|
entity |
| Predicate | originallyFrom |
P11553
|
FINISHED |
| Object | central Midwestern United States |
—
|
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: central Midwestern United States | Statement: [Kaw, originallyFrom, central Midwestern United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyFrom Context triple: [Kaw, originallyFrom, central Midwestern United States]
-
A.
originallyIn
Indicates that something first appeared, was created, or was initially located within a particular context, source, or place.
-
B.
isFrom
chosen
Indicates that one entity originates, comes, or has been sent from another entity or source.
-
C.
cityOfOriginal
Indicates the city from which something or someone originally comes or was first created or established.
-
D.
transmittedFrom
Indicates that something (such as information, a signal, or a disease) has been passed or conveyed from one source entity to another.
-
E.
hasOriginIn
Indicates that something begins, arises, or is derived from a specified source, place, or cause.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64adf2c81908e48090be35dd9d9 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f839608190878a60eb7a044ed9 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.