Triple
T11512975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milan public prosecutor's office |
E272959
|
entity |
| Predicate | impactOfManiPulite |
P1784
|
FINISHED |
| Object | reshaped Italian political landscape |
—
|
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: reshaped Italian political landscape | Statement: [Milan public prosecutor's office, impactOfManiPulite, reshaped Italian political landscape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOfManiPulite Context triple: [Milan public prosecutor's office, impactOfManiPulite, reshaped Italian political landscape]
-
A.
impactOnIran
Indicates the effect or consequences that an action, event, or policy has on Iran.
-
B.
politicalRepercussion
chosen
Indicates that an action, event, or decision leads to consequences or fallout within a political context, such as shifts in power, public opinion, or policy.
-
C.
impactOnIncumbents
Indicates the effect or consequences that a change, event, or action has on existing participants or holders of a position.
-
D.
nationalImpact
Indicates that something has a significant effect or influence at the level of an entire nation.
-
E.
impactOfRetreat
Indicates the effects or consequences that a retreat has on relevant entities, conditions, or outcomes.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db7af688190b68668eb39d382a8 |
completed | April 10, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69d80876e5f0819088cff2e72f773cf6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.