Triple
T28445172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russian |
E715820
|
entity |
| Predicate | oneOfMostSpokenLanguages |
P167358
|
FINISHED |
| Object | world |
—
|
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: world | Statement: [Russian, oneOfMostSpokenLanguages, world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfMostSpokenLanguages Context triple: [Russian, oneOfMostSpokenLanguages, world]
-
A.
isWidelySpokenIn
Indicates that a language is spoken by a large portion of the population across many regions or communities within a specified area.
-
B.
thirdMostSpokenLanguage
Indicates that the related language is the third most commonly spoken language associated with the given entity (such as a country or region).
-
C.
isSpokenAsFirstLanguageBy
Indicates that a language is the primary (native) language used by a person or group for everyday communication.
-
D.
rankedByNumberOfNativeSpeakers
Indicates that entities are ordered or classified according to how many native speakers they have.
-
E.
isSpokenLanguageOf
Indicates that a particular language is used as the spoken language by a specified person, group, or community.
- 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_69efd6b44550819094ae991b553d9fc3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 1:48 a.m.