Triple
T27070226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giannino |
E685303
|
entity |
| Predicate | givenNameForLanguageCommunity |
P161813
|
FINISHED |
| Object | Italian-speaking people |
—
|
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: Italian-speaking people | Statement: [Giannino, givenNameForLanguageCommunity, Italian-speaking people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: givenNameForLanguageCommunity Context triple: [Giannino, givenNameForLanguageCommunity, Italian-speaking people]
-
A.
languageGroupName
Indicates the name assigned to a particular language group or linguistic classification.
-
B.
localLanguageName
Indicates the name of a language as it is written or referred to in its own local or native form.
-
C.
nativeLanguageFamilyName
Indicates the name of the language family to which an entity’s native language belongs.
-
D.
languageOfWorkOrName
Indicates the language in which a work is created or a name is expressed.
-
E.
languageName
Indicates the specific name assigned to a language in the relationship.
- F. None of above. chosen
Provenance (4 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_69ef14835fcc81908bd737b4267ae528 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f623107cf08190af1660cd6987c912 |
completed | May 2, 2026, 4:15 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 27, 2026, 8:27 a.m.