Triple
T27580254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azzurrini |
E699564
|
entity |
| Predicate | homeKitNicknameRelation |
P109144
|
FINISHED |
| Object | Azzurri |
—
|
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: Azzurri | Statement: [Azzurrini, homeKitNicknameRelation, Azzurri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeKitNicknameRelation Context triple: [Azzurrini, homeKitNicknameRelation, Azzurri]
-
A.
hasAffectionateNicknameFor
Indicates that one entity uses or assigns a fond, affectionate, or endearing nickname to another entity.
-
B.
nicknameOfObject
chosen
Indicates that one entity is used as an informal or alternative name (nickname) for another entity.
-
C.
houseNickname
Indicates that an entity has an informal or alternative name used as a nickname for a house or dwelling.
-
D.
nicknameOfOwners
Indicates that a given nickname belongs to or is used for the owners of a particular entity.
-
E.
nicknameOfProduct
Indicates that one term is used as an informal or alternative name (nickname) for a particular product.
- 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_69ef6a4cb8b881909b3a8d630fd89df2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63015a6bc8190b4f47236dd4b6680 |
completed | May 2, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:02 p.m.