Triple
T4670525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Article 11 of the Genocide Convention |
E102949
|
entity |
| Predicate | typeOfClause |
P58758
|
FINISHED |
| Object | temporal application clause |
—
|
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: temporal application clause | Statement: [Article 11 of the Genocide Convention, typeOfClause, temporal application clause]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfClause Context triple: [Article 11 of the Genocide Convention, typeOfClause, temporal application clause]
-
A.
typeOfCondition
Indicates that one condition is a specific kind, category, or subtype of another condition.
-
B.
typeOfRule
Indicates that one rule is classified as a specific kind or category of another, more general rule.
-
C.
typeOf
Indicates that one entity is a specific kind, class, or category instance of another more general entity.
-
D.
termType
Indicates the classification or category of a term within a system, specifying what kind of term it is (e.g., type, role, or function) in relation to others.
-
E.
typeOfNamedThing
Indicates that one entity is the specific type or category to which the named thing belongs.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd655aceb081908100ffc0498fe183 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6215864c8190b50ba0f63ba87d0c |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd655719dc8190beb6942f343a0ae7 |
completed | March 20, 2026, 3:18 p.m. |
Created at: March 20, 2026, 1:15 p.m.