Triple
T22012280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charms |
E543605
|
entity |
| Predicate | requiredForYear |
P86606
|
FINISHED |
| Object | first 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: first year | Statement: [Charms, requiredForYear, first year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiredForYear Context triple: [Charms, requiredForYear, first year]
-
A.
requiredBy
Indicates that one entity depends on or cannot function properly without another entity being present, completed, or satisfied.
-
B.
requiredOn
chosen
Indicates that one entity must exist, be present, or be fulfilled on a specific other entity, date, or condition as a mandatory requirement.
-
C.
requiredTo
Indicates that one entity has an obligation or necessity to perform an action or satisfy a condition in relation to another entity or context.
-
D.
requiresEducationIn
Indicates that one entity necessitates that another entity possess education or formal training in a specified field or discipline.
-
E.
requiresGraduation
Indicates that one entity must have completed a specified level of education or obtained a graduation credential as a prerequisite for the other entity.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a520bc8190865f525a87255fb2 |
completed | April 28, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:22 p.m.