Triple
T13058006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Truth and Reconciliation Commission |
E327627
|
entity |
| Predicate | beganWorkInYear |
P10338
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [Truth and Reconciliation Commission, beganWorkInYear, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beganWorkInYear Context triple: [Truth and Reconciliation Commission, beganWorkInYear, 1996]
-
A.
beganInYear
chosen
Indicates that an event, process, or state started in a specific calendar year.
-
B.
createdForWorkReleasedInYear
Indicates that something was created specifically for a work that was released in a particular year.
-
C.
occupationBegan
Indicates the point in time when an entity started holding a particular occupation or job.
-
D.
occupationBeganAfter
Indicates that one entity’s occupation or job role started at a later time than another specified event or occupation.
-
E.
studCareerStartYear
Indicates the calendar year in which a student's academic or educational career formally began.
- 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.