Triple
T29411029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altiero Spinelli |
E745893
|
entity |
| Predicate | internedOn |
P127153
|
FINISHED |
| Object | Ventotene |
—
|
NE NERFINISHED |
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: Ventotene | Statement: [Altiero Spinelli, internedOn, Ventotene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: internedOn Context triple: [Altiero Spinelli, internedOn, Ventotene]
-
A.
wasInternedAt
chosen
Indicates that a person was forcibly confined or detained at a particular place or facility, typically during a specific period.
-
B.
internedGroups
Indicates that certain groups of entities were confined or detained together, typically under restrictive or custodial conditions.
-
C.
usedToIntern
Indicates that one entity previously held an internship position with another entity.
-
D.
wereInternedBy
Indicates that an entity was forcibly confined, detained, or held in an internment facility by another entity (typically an authority or government).
-
E.
initialedOn
Indicates that an entity has placed its initials on or approved something on a specific date or at a specific time.
- 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_69f0a79eb7d081908c67197a5f347e68 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: April 28, 2026, 2:57 p.m.