Triple
T12102690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ἡλιαία |
E288227
|
entity |
| Predicate | maximumJurySize |
P42178
|
FINISHED |
| Object | several thousand jurors |
—
|
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: several thousand jurors | Statement: [Ἡλιαία, maximumJurySize, several thousand jurors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumJurySize Context triple: [Ἡλιαία, maximumJurySize, several thousand jurors]
-
A.
maximumNumberOfJustices
Indicates the total number of justices that is allowed or prescribed as the upper limit for a given judicial body.
-
B.
hasNumberOfJurors
chosen
Indicates the relationship specifying how many jurors are associated with a given legal case, trial, or proceeding.
-
C.
minimumNumberOfJustices
Indicates the smallest number of justices required for a court or judicial body to validly conduct its proceedings or make decisions.
-
D.
numberOfJudges
Indicates the total count of judges associated with a particular case, event, or entity.
-
E.
maximumAgeOfJudges
Indicates the highest allowable age that individuals may have in order to serve as judges.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:48 p.m.