Triple
T521869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Criminal Court |
E10832
|
entity |
| Predicate | firstConvictionDate |
P9179
|
FINISHED |
| Object | 2012-03-14 |
—
|
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: 2012-03-14 | Statement: [International Criminal Court, firstConvictionDate, 2012-03-14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstConvictionDate Context triple: [International Criminal Court, firstConvictionDate, 2012-03-14]
-
A.
dateOfConviction
chosen
Indicates the specific calendar date on which a person or entity was formally found guilty of an offense.
-
B.
dateOfImprisonmentStart
Indicates the date on which an entity’s period of imprisonment begins.
-
C.
convictedOf
Indicates that a person or entity has been found guilty of committing a specified offense or crime through a formal legal process.
-
D.
dateOfArrest
Indicates the specific date on which an entity was formally arrested by an authority.
-
E.
numberOfConvictions
Indicates the count of times an entity has been formally found guilty of an offense.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b372408190b3918fec45444674 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f018129c81909494450fcba71b59 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.