Triple
T24279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edwin |
E481
|
entity |
| Predicate | popularity |
P1755
|
FINISHED |
| Object | used internationally |
—
|
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: used internationally | Statement: [Edwin, popularity, used internationally]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularity Context triple: [Edwin, popularity, used internationally]
-
A.
isPopularWith
Indicates that one entity is well-liked, favored, or widely accepted by another entity or group.
-
B.
popularSeason
Indicates that a particular season is widely liked, favored, or frequently chosen by many people.
-
C.
popularInCentury
Indicates that something was widely liked, influential, or commonly recognized during a specified century.
-
D.
population
Indicates the total number of individuals living in or present within a specified area or group.
-
E.
prominence
Indicates that an entity stands out in importance, visibility, or influence relative to others within a given context.
- 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_69a243b4ac2c8190b93c303df797b7b2 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NER | Named-entity recognition | batch_69a246e94ca881908f7a7d2c0b293033 |
completed | Feb. 28, 2026, 1:37 a.m. |
| PD | Predicate disambiguation | batch_69a246560af88190961ea00b35cf9388 |
completed | Feb. 28, 2026, 1:35 a.m. |
| PDg | Predicate description generation | batch_69a246e7fac481909b0c500d4500650e |
completed | Feb. 28, 2026, 1:37 a.m. |
Created at: Feb. 28, 2026, 1:34 a.m.