Triple
T27982099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One-Year MBA |
E706650
|
entity |
| Predicate | hasRelativeDuration |
P155202
|
FINISHED |
| Object | shorter than Two-Year MBA |
—
|
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: shorter than Two-Year MBA | Statement: [One-Year MBA, hasRelativeDuration, shorter than Two-Year MBA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelativeDuration Context triple: [One-Year MBA, hasRelativeDuration, shorter than Two-Year MBA]
-
A.
hasDurationType
Indicates that something is associated with a specific kind or category of duration (e.g., temporary, permanent, short-term, long-term).
-
B.
durationRelative
chosen
Indicates that one event or time interval is described in terms of its length relative to another reference duration.
-
C.
hasApproximateDuration
Indicates that one entity has a duration that is estimated or not exact, typically expressed as an approximate length of time.
-
D.
hasDurationCharacteristic
Indicates that something possesses a specific temporal property, such as length, span, or persistence over time.
-
E.
hasRelativeAge
Indicates that one entity has an age that is defined or compared in relation to the age of another 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_69ef96b8b8d88190bad5e4ae966bf14e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69ff1c91bbac8190b84012dee1cb3b2c |
completed | May 9, 2026, 11:37 a.m. |
| PD | Predicate disambiguation | batch_69ff1c23ca508190bb5a435d765b7e53 |
completed | May 9, 2026, 11:36 a.m. |
Created at: April 27, 2026, 7:45 p.m.