Triple
T29924349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICJ General List No. 132 |
E760037
|
entity |
| Predicate | caseNumberingSystem |
P76198
|
FINISHED |
| Object | ICJ General List |
—
|
NE NERFINISHED |
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: ICJ General List | Statement: [ICJ General List No. 132, caseNumberingSystem, ICJ General List]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: caseNumberingSystem Context triple: [ICJ General List No. 132, caseNumberingSystem, ICJ General List]
-
A.
caseNumber
chosen
Indicates the unique identifying number assigned to a particular legal or administrative case.
-
B.
courtNumber
Indicates the specific numbered court (e.g., field, room, or venue) assigned or associated with an event, case, or match.
-
C.
legalNumbering
Indicates that an entity has an officially assigned legal or regulatory identification number.
-
D.
legislatureNumberingScheme
Indicates how legislative bodies or sessions are sequentially numbered or labeled within a given political or legal system.
-
E.
categoryNumbering
Indicates that items within a category are assigned an ordered or structured numbering scheme that defines their position or sequence in that category.
- 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_69f224631674819080c8d089674f9f4f |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67795fdd4819088f3c7d0de598699 |
completed | May 2, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:15 p.m.