Triple
T21530812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal High Court of Ethiopia |
E531219
|
entity |
| Predicate | mayHaveBenchesIn |
P114559
|
FINISHED |
| Object | different federal judicial districts of Ethiopia |
—
|
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: different federal judicial districts of Ethiopia | Statement: [Federal High Court of Ethiopia, mayHaveBenchesIn, different federal judicial districts of Ethiopia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayHaveBenchesIn Context triple: [Federal High Court of Ethiopia, mayHaveBenchesIn, different federal judicial districts of Ethiopia]
-
A.
hasAdditionalBenchesAt
chosen
Indicates that one location or facility includes extra benches situated at or associated with another specified place.
-
B.
governmentBenchesLocation
Indicates the location or physical placement of the government benches within a legislative or parliamentary setting.
-
C.
hasBench
Indicates that one entity possesses, contains, or is equipped with a bench.
-
D.
hasPicnicTables
Indicates that an entity provides or contains one or more picnic tables available for use.
-
E.
numberOfPettyBenches
Indicates the quantity of petty benches associated with or present in relation to a given entity.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d08ebf881909574e098404f93fa |
completed | April 26, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:27 p.m.