Triple
T4028152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constitutional Court (Portugal) |
E83641
|
entity |
| Predicate | hasJudgeTermLength |
P38633
|
FINISHED |
| Object | 9 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: 9 years | Statement: [Constitutional Court (Portugal), hasJudgeTermLength, 9 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJudgeTermLength Context triple: [Constitutional Court (Portugal), hasJudgeTermLength, 9 years]
-
A.
setJudgeTermLength
chosen
Indicates setting or assigning the duration of a judge’s term of service.
-
B.
maximumAgeOfJudges
Indicates the highest allowable age that individuals may have in order to serve as judges.
-
C.
hasJudge
Indicates that a legal case, proceeding, or decision is presided over or decided by a particular judge.
-
D.
judgesServeUntil
Indicates that a judge continues to hold and perform their judicial office up to a specified end date or condition.
-
E.
hasSeniorJudge
Indicates that one entity is assigned or linked to another entity serving in the role of a senior judge.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaeec44881909a6c008eeae204df |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fc78ec819092d4dab88d85a141 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.