Triple
T4263063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Billboard Hot Country Songs number one |
E96148
|
entity |
| Predicate | superlativeDegree |
P2410
|
FINISHED |
| Object | highest |
—
|
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: highest | Statement: [U.S. Billboard Hot Country Songs number one, superlativeDegree, highest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: superlativeDegree Context triple: [U.S. Billboard Hot Country Songs number one, superlativeDegree, highest]
-
A.
superlative
chosen
Indicates that one entity possesses a property to the greatest or least degree when compared with all others in a given set.
-
B.
surpasses
Indicates that one entity exceeds or goes beyond another in degree, quality, performance, or achievement.
-
C.
superiorGeneral
Indicates that one entity holds the role or position of superior general in relation to another entity, typically as the highest-ranking leader of a religious order or similar organization.
-
D.
crest
Indicates reaching the highest point or peak of something, such as a wave, hill, or trend, before it begins to decline.
-
E.
above
Indicates that one entity is positioned higher than another along a vertical axis, without implying direct contact.
- 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34fc821ec8190a7204aaf89d24a6b |
completed | March 12, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69b347f8dcb08190a725c1f7fb5a7466 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:06 p.m.