Triple
T57030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian Americans |
E1127
|
entity |
| Predicate | pullFactor |
P1347
|
FINISHED |
| Object | availability of farmland in the American Midwest |
—
|
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: availability of farmland in the American Midwest | Statement: [Norwegian Americans, pullFactor, availability of farmland in the American Midwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pullFactor Context triple: [Norwegian Americans, pullFactor, availability of farmland in the American Midwest]
-
A.
distribution
Indicates the act or pattern of giving, delivering, or spreading something from one source to multiple recipients or locations.
-
B.
attracts
chosen
Indicates that one entity exerts a force or influence that draws another entity toward it.
-
C.
holding
Indicates that one entity is physically grasping, carrying, or keeping another entity in its possession or control.
-
D.
forceType
Indicates the specific kind or category of force involved in an interaction or event (e.g., physical, legal, military, or other defined force classifications).
-
E.
front
Indicates that one entity is located directly before or facing another entity along a primary viewing or movement direction.
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24b915c9881908c798f4dacb39f1d |
completed | Feb. 28, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69a24ac6799c8190b508933acc0a4c7d |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.