Triple
T7829871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hashem Abedi |
E181338
|
entity |
| Predicate | sentenceMinimumTerm |
P33768
|
FINISHED |
| Object | 55 years |
—
|
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: 55 years | Statement: [Hashem Abedi, sentenceMinimumTerm, 55 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sentenceMinimumTerm Context triple: [Hashem Abedi, sentenceMinimumTerm, 55 years]
-
A.
sentenceLength
Indicates the length or number of units (such as characters, words, or tokens) that a given sentence contains.
-
B.
introducedMandatoryMinimumSentencesFor
chosen
Indicates that an authority or law established compulsory minimum prison terms to be applied in cases involving a particular offense or group.
-
C.
typicalTerm
Indicates that something is a standard, representative, or characteristic term typically associated with a given concept or context.
-
D.
minimumLevel
Indicates that one entity specifies the lowest allowable or required level, degree, or threshold at which another entity, condition, or action becomes valid or applicable.
-
E.
minimumMass
Indicates the smallest mass value that an entity or system is required, allowed, or observed to have within a given context.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04ac013c81909533fa348776f50c |
completed | March 30, 2026, 11:18 p.m. |
| PD | Predicate disambiguation | batch_69cae91ae008819098e56bbe51143b31 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:44 p.m.