Triple
T1593572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Arts and Sciences, University of Tokyo |
E34228
|
entity |
| Predicate | seniorDivisionDuration |
P8729
|
FINISHED |
| Object | two 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: two years | Statement: [Faculty of Arts and Sciences, University of Tokyo, seniorDivisionDuration, two years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seniorDivisionDuration Context triple: [Faculty of Arts and Sciences, University of Tokyo, seniorDivisionDuration, two years]
-
A.
seasonDuration
Indicates the length of time that a particular season lasts.
-
B.
hasOfficialDuration
chosen
Indicates the formally defined length of time associated with an event, process, or entity.
-
C.
termLength
Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
-
D.
sessionLength
Indicates the duration of time that a particular session lasts from start to end.
-
E.
seniorRank
Indicates that one entity holds a higher or more senior rank or position than 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a916d413f08190a4e137e5ed262e25 |
completed | March 5, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69a907bfb39c8190a31e0be14d3d52e6 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.