Triple
T35971674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menen canton |
E1040301
|
entity |
| Predicate | hasJudicialType |
P8214
|
FINISHED |
| Object | judicial subdivision |
—
|
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: judicial subdivision | Statement: [Menen canton, hasJudicialType, judicial subdivision]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJudicialType Context triple: [Menen canton, hasJudicialType, judicial subdivision]
-
A.
hasJudgeType
Indicates that an entity is associated with a specific category or type of judge.
-
B.
hasTypeOfCourt
chosen
Indicates that an entity is associated with or classified by a specific type or category of court.
-
C.
hasJuryType
Indicates that an entity is associated with, or classified by, a specific type or category of jury.
-
D.
hasJudiciary
Indicates that an entity possesses, is served by, or is under the authority of a judicial body or legal court system.
-
E.
hasLegalSystemType
Indicates that an entity possesses or is governed by a particular type or form of legal system.
- 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_69f76e27758c81909b711cf38a130aaf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.