Triple
T37231447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Via D'Amelio |
E923143
|
entity |
| Predicate | hasTypeOfTerrorism |
P21104
|
FINISHED |
| Object | mafia terrorism |
—
|
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: mafia terrorism | Statement: [Via D'Amelio, hasTypeOfTerrorism, mafia terrorism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfTerrorism Context triple: [Via D'Amelio, hasTypeOfTerrorism, mafia terrorism]
-
A.
typeOfTerrorism
chosen
Indicates a classification relationship where an act or event is identified as belonging to a specific category or type of terrorism.
-
B.
hasTerroristOrganization
Indicates that an entity is associated with, belongs to, or functions as a terrorist organization.
-
C.
hasTerroristAntagonist
Indicates that the subject work features an antagonist who is a terrorist or engages in terrorism.
-
D.
usedTerrorism
Indicates that an entity employed or supported acts of terrorism as a means to achieve its objectives.
-
E.
classifiedAsTerroristBy
Indicates that an entity has been designated or labeled as a terrorist by a specified authority, organization, or actor.
- 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_69f76ea7f0008190b31b8e30f3d05a71 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffc7b4c7f88190b6357a44e7f0940f |
completed | May 9, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69ffc755f09c8190995ca00d97336988 |
completed | May 9, 2026, 11:46 p.m. |
Created at: May 3, 2026, 4:15 p.m.