Triple
T35293717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legnanesi |
E1019297
|
entity |
| Predicate | belongToNation |
P20710
|
FINISHED |
| Object | Italian 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 people | Statement: [Legnanesi, belongToNation, Italian people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongToNation Context triple: [Legnanesi, belongToNation, Italian people]
-
A.
belongsToNationState
chosen
Indicates that an entity is a member, part, or constituent of a specific nation-state, reflecting a formal or recognized association with that country.
-
B.
associatedWithNationality
Indicates that one entity has a connection or affiliation with the nationality of another entity.
-
C.
nationalityRepresented
Indicates the country or nation that an entity officially represents, typically in a professional, competitive, or diplomatic capacity.
-
D.
servesAsHomelandFor
Indicates that a place functions as the native land, origin, or primary home territory for a particular group or population.
-
E.
refersToNationWithin
Indicates that one entity makes reference to, or is about, a specific nation that exists within a larger geopolitical or contextual scope.
- 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff9361943c81909544203cbc998a69 |
completed | May 9, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69ff913138a08190b59bdc9d8d199eb3 |
completed | May 9, 2026, 7:55 p.m. |
Created at: May 3, 2026, 4:03 p.m.