Triple
T10896246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal High Court of Nigeria |
E257316
|
entity |
| Predicate | isCourtOfRecord |
P96279
|
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: [Federal High Court of Nigeria, isCourtOfRecord, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCourtOfRecord Context triple: [Federal High Court of Nigeria, isCourtOfRecord, true]
-
A.
isMajorCourtIn
Indicates that a court is a primary or high-level judicial body within the specified jurisdiction or region.
-
B.
notCourtOfRecord
Indicates that the referenced court does not maintain a permanent, formal record of its proceedings and decisions.
-
C.
recognizesCourt
Indicates that one legal authority formally accepts the legitimacy or jurisdiction of a particular court.
-
D.
hasStateCourt
Indicates that a given jurisdiction or region possesses an official court that operates at the state level.
-
E.
notableCourt
Indicates that a particular court is especially significant or noteworthy in relation to the subject.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75d022f4c81909cd9ea27a9f0cd32 |
completed | April 9, 2026, 8:02 a.m. |
| PD | Predicate disambiguation | batch_69d70d3943c881908895397eccc3e415 |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101de31c819090707635f6790559 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:21 p.m.