Triple
T12675681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kobe City College of Technology (Port Island campus) |
E302804
|
entity |
| Predicate | hasDurationOfMainProgram |
P24633
|
FINISHED |
| Object | 5 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: 5 years | Statement: [Kobe City College of Technology (Port Island campus), hasDurationOfMainProgram, 5 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDurationOfMainProgram Context triple: [Kobe City College of Technology (Port Island campus), hasDurationOfMainProgram, 5 years]
-
A.
hasMainPeriod
Indicates that something is associated with or characterized by a primary or most significant time period.
-
B.
programLength
chosen
Indicates the duration or total length of a program, typically measured in time or size.
-
C.
hasOfficialDuration
Indicates the formally defined length of time associated with an event, process, or entity.
-
D.
hasCourseLength
Indicates that an entity (such as a course) is associated with a specific duration or length.
-
E.
intendedDuration
Indicates the planned or expected length of time for which an action, event, or state is meant to occur or remain in effect.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b0d9c88190a05d6cbcb7a1642d |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:20 p.m.