Triple
T15919943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seward's Folly |
E386064
|
entity |
| Predicate | contrastsWithLaterView |
P107167
|
FINISHED |
| Object | Alaska recognized as rich in natural resources |
—
|
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: Alaska recognized as rich in natural resources | Statement: [Seward's Folly, contrastsWithLaterView, Alaska recognized as rich in natural resources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contrastsWithLaterView Context triple: [Seward's Folly, contrastsWithLaterView, Alaska recognized as rich in natural resources]
-
A.
comparedToPredecessor
Indicates that something is being evaluated or measured in relation to the thing that came immediately before it.
-
B.
contrastedWithObject
chosen
Indicates that one entity is explicitly compared to another by highlighting their differences or opposing characteristics.
-
C.
dramaticContrastWith
Indicates that one entity is presented in a way that sharply emphasizes differences in tone, style, or impact when compared with another entity.
-
D.
viewOnHereafter
Indicates a subject’s beliefs, opinions, or perspective regarding the afterlife or what happens after death.
-
E.
exploresContrastBetween
Indicates a relationship in which one entity examines, highlights, or analyzes the differences or oppositions between two or more entities, ideas, or situations.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.