Triple
T11636312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The little Nobel |
E276528
|
entity |
| Predicate | regionComparedTo |
P100119
|
FINISHED |
| Object | global scope of the Nobel Prize |
—
|
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: global scope of the Nobel Prize | Statement: [The little Nobel, regionComparedTo, global scope of the Nobel Prize]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionComparedTo Context triple: [The little Nobel, regionComparedTo, global scope of the Nobel Prize]
-
A.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
-
B.
regionOpposedExpansionIn
Indicates that a region actively resisted or opposed the expansion of another entity into its territory or sphere of influence.
-
C.
regionCorrespondsRoughlyTo
Indicates that one region approximately matches or aligns with another in location, extent, or boundaries, but not with precise or exact correspondence.
-
D.
regionType
Indicates the classification or category of a region, specifying what kind of region it is (e.g., administrative, geographic, or functional).
-
E.
regionSub
Indicates that one region is a subregion or contained part of another, larger region.
- F. None of above. chosen
Provenance (4 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25d80208190b33e95db2e7cc276 |
completed | April 10, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
| PDg | Predicate description generation | batch_69d87f30642c8190ad94fa061cde186b |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:39 p.m.