Triple
T21310586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autostrada A4 |
E525321
|
entity |
| Predicate | managedInSectionsBy |
P29724
|
FINISHED |
| Object | various concessionary companies |
—
|
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: various concessionary companies | Statement: [Autostrada A4, managedInSectionsBy, various concessionary companies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managedInSectionsBy Context triple: [Autostrada A4, managedInSectionsBy, various concessionary companies]
-
A.
managedIn
chosen
Indicates that one entity is administered, operated, or overseen within the scope, control, or jurisdiction of another entity.
-
B.
associatedWithSection
Indicates that one entity is linked or connected to a particular section within a larger structure or context.
-
C.
roleInSection106
Indicates that an entity has a specific role or involvement within the context of Section 106 (typically of a legal or regulatory framework).
-
D.
manageThrough
Indicates that one entity exercises control, direction, or administration over another entity or process by means of an intermediary entity, channel, or mechanism.
-
E.
associatedWorkSection
Indicates that one work or resource is related to a specific section or part of another work.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aab14f08190949e1407eb2b3e67 |
completed | April 21, 2026, 11:08 a.m. |
| PD | Predicate disambiguation | batch_69e61612ab748190a72b8703b938abcb |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:09 p.m.