Triple
T691720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Test of English as a Foreign Language |
E13805
|
entity |
| Predicate | testFrequency |
P85
|
FINISHED |
| Object | multiple times per year |
—
|
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: multiple times per year | Statement: [Test of English as a Foreign Language, testFrequency, multiple times per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testFrequency Context triple: [Test of English as a Foreign Language, testFrequency, multiple times per year]
-
A.
meetingFrequency
Indicates how often a meeting or recurring gathering takes place over a given period.
-
B.
hasCommunicationFrequency
Indicates how often communication occurs between the related entities.
-
C.
frequencyRequirement
Indicates a constraint specifying how often an action, event, or condition must occur within a given context or time frame.
-
D.
frequency
chosen
Indicates how often an event, action, or relationship occurs within a given period or context.
-
E.
frequencyComparedTo
Indicates how often one event or action occurs relative to another, expressing a comparison of their frequencies.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0aebde88190a49d421477713103 |
completed | March 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69a49d221d38819083c0adda81f59b07 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.