Triple
T543371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Court of Appeals for the Fifth Circuit |
E12679
|
entity |
| Predicate | hasLifeTenureJudges |
P15489
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [United States Court of Appeals for the Fifth Circuit, hasLifeTenureJudges, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLifeTenureJudges Context triple: [United States Court of Appeals for the Fifth Circuit, hasLifeTenureJudges, true]
-
A.
numberOfAssociateJustices
Indicates the total count of associate justices associated with a given judicial body or court.
-
B.
hasChiefJudge
Indicates that an entity holds the role or position of chief judge for another entity (such as a court or judicial body).
-
C.
hasJudiciary
Indicates that an entity possesses, is served by, or is under the authority of a judicial body or legal court system.
-
D.
chiefJusticeSinceYear
Indicates that an entity has held the position of chief justice starting from a specified year.
-
E.
currentTotalJustices
Indicates the relationship that specifies the present number of justices serving on a particular court or judicial body.
- F. None of above. chosen
Provenance (4 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4986250508190ac91cfdf7d57073d |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b8098481908097228db8ad0262 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a49858abd48190bd4b002a93e4a908 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.