Triple
T30190894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church Street bombing (1983) |
E767477
|
entity |
| Predicate | perpetratorWing |
P40753
|
FINISHED |
| Object | ANC armed wing |
—
|
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: ANC armed wing | Statement: [Church Street bombing (1983), perpetratorWing, ANC armed wing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perpetratorWing Context triple: [Church Street bombing (1983), perpetratorWing, ANC armed wing]
-
A.
perpetratorTrial
Indicates that a legal trial is conducted to judge the actions or guilt of the identified perpetrator.
-
B.
perpetratorProgram
Indicates that a program or software system is the agent responsible for carrying out a particular harmful, illegal, or otherwise wrongful action.
-
C.
perpetratedBy
Indicates that an action, event, or wrongdoing was carried out or caused by a particular agent or entity.
-
D.
perpetratorType
Indicates the classification or category of the entity that carried out or is responsible for a harmful, illegal, or otherwise wrongful act.
-
E.
perpetratorAllegiance
chosen
Indicates that the perpetrator is affiliated with, loyal to, or acting on behalf of a particular group, organization, or cause.
- 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_69f2247cc3d88190811dec3face94bf5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67f8393948190aa6fc6acea2e7d00 |
completed | May 2, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:28 p.m.