Triple
T13058007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Truth and Reconciliation Commission |
E327627
|
entity |
| Predicate | completedWorkInYear |
P85809
|
FINISHED |
| Object | 2002 |
—
|
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: 2002 | Statement: [Truth and Reconciliation Commission, completedWorkInYear, 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: completedWorkInYear Context triple: [Truth and Reconciliation Commission, completedWorkInYear, 2002]
-
A.
workCompletionYear
chosen
Indicates the calendar year in which a particular work, project, or task was completed.
-
B.
completedIn
Indicates that an action, process, or task was fully finished within a specified time period or duration.
-
C.
concludesWork
Indicates that an entity finishes, completes, or brings to an end a particular piece of work or task.
-
D.
workYear
Indicates the specific year or span of years during which an entity (such as a person or organization) was engaged in work or employment.
-
E.
hasWorkedFor
Indicates that an entity has been employed by or has provided work or services to another entity.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980e7ee548190b4b18bdb1357c359 |
completed | April 10, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69d9803d46688190bac6b7d208f08d01 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 8:58 p.m.