Triple
T1967197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palestinian judiciary |
E42715
|
entity |
| Predicate | includesCourtType |
P8214
|
FINISHED |
| Object | magistrate courts |
—
|
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: magistrate courts | Statement: [Palestinian judiciary, includesCourtType, magistrate courts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesCourtType Context triple: [Palestinian judiciary, includesCourtType, magistrate courts]
-
A.
hasTypeOfCourt
chosen
Indicates that an entity is associated with or classified by a specific type or category of court.
-
B.
hasCourts
Indicates that an entity possesses, contains, or is equipped with one or more courts (e.g., legal, sports, or judicial facilities).
-
C.
hasCourtInEach
Indicates that an entity possesses or maintains a court in every member of a specified set of locations or jurisdictions.
-
D.
affectedCourt
Indicates that a particular court is impacted or influenced by a specified action, decision, or legal matter.
-
E.
showCourt
Indicates that an entity presents or displays a court (such as a judicial venue or playing court) to another entity or audience.
- 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_69a88711151c8190940b2572095059d7 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3cf15048190a51f73ed85e1b958 |
completed | March 7, 2026, 5:12 a.m. |
| PD | Predicate disambiguation | batch_69abaff7d4a48190ab0d51aefb1c4e31 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.