Triple
T5479579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GSM |
E123436
|
entity |
| Predicate | globalAdoption |
P64024
|
FINISHED |
| Object | worldwide |
—
|
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: worldwide | Statement: [GSM, globalAdoption, worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: globalAdoption Context triple: [GSM, globalAdoption, worldwide]
-
A.
adoptionTrend
Indicates how the rate or level of adoption of something changes or evolves over time.
-
B.
adoptionCountry
Indicates the country in which the adoption of an entity (such as a person, animal, or item) legally took place.
-
C.
adoption
Indicates the legal or formal act by which one party assumes parental or custodial responsibility for another, typically a child, creating a recognized parent–child relationship.
-
D.
adoptionPeak
Indicates the point in time at which the rate or level of adoption of something reaches its highest value.
-
E.
adopts
Indicates that one entity formally takes another into its care, control, or use, assuming ongoing responsibility or ownership.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9248ca348190aa116cace0f9b07a |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd91a58c448190904964a439045e05 |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd9214b8488190979112c7615f359a |
completed | March 20, 2026, 6:29 p.m. |
Created at: March 20, 2026, 2:09 p.m.