Triple
T2784094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Civil Service Tribunal |
E61767
|
entity |
| Predicate | judgesTermLength |
P38633
|
FINISHED |
| Object | 6 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: 6 years | Statement: [Civil Service Tribunal, judgesTermLength, 6 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: judgesTermLength Context triple: [Civil Service Tribunal, judgesTermLength, 6 years]
-
A.
maximumAgeOfJudges
Indicates the highest allowable age that individuals may have in order to serve as judges.
-
B.
setJudgeTermLength
chosen
Indicates setting or assigning the duration of a judge’s term of service.
-
C.
judgesServeUntil
Indicates that a judge continues to hold and perform their judicial office up to a specified end date or condition.
-
D.
judgesTerm
Indicates that one entity formally evaluates or makes a judgment about a specific term or expression.
-
E.
hasLifeTenureJudges
Indicates that the judges associated with an office, position, or institution hold their roles for life, typically remaining in office until they choose to retire, resign, or are removed under exceptional circumstances.
- 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_69ab4b7e43c48190997b8fc8fb1663ab |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdd00b65c8190a8ea444308c4fa2b |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.