Triple
T33850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Court of Justice |
E674
|
entity |
| Predicate | numberOfJudges |
P2279
|
FINISHED |
| Object | 15 |
—
|
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: 15 | Statement: [International Court of Justice, numberOfJudges, 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfJudges Context triple: [International Court of Justice, numberOfJudges, 15]
-
A.
numberOfParticipants
Indicates the total count of entities involved in a particular event, activity, or relationship.
-
B.
presidingOfficerForCount
Indicates that a particular officer has official responsibility for overseeing or presiding over a specific count (such as a charge, claim, or item) within a legal or procedural context.
-
C.
numberOfPeopleAccused
Indicates the count of individuals who are formally alleged to have committed a particular act or offense.
-
D.
delegateCountWinner
Indicates that the referenced entity is the candidate or option that has secured the highest number of delegates in a given selection or election process.
-
E.
judicialBody
Indicates that an entity serves as a court or tribunal with authority to adjudicate legal disputes or interpret and apply the law.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2496ffc548190b545f998cbebd5b9 |
completed | Feb. 28, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69a248717f5081909952a8c9ed1e1742 |
completed | Feb. 28, 2026, 1:44 a.m. |
| PDg | Predicate description generation | batch_69a2496f21708190a0fd33e269b9917f |
completed | Feb. 28, 2026, 1:48 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.