Triple
T6649454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Vecchia Signora |
E150782
|
entity |
| Predicate | associatedWithTrophies |
P28247
|
FINISHED |
| Object | multiple Serie A titles |
—
|
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: multiple Serie A titles | Statement: [La Vecchia Signora, associatedWithTrophies, multiple Serie A titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithTrophies Context triple: [La Vecchia Signora, associatedWithTrophies, multiple Serie A titles]
-
A.
hasRelatedTrophy
chosen
Indicates that there exists a trophy that is associated with, linked to, or relevant to the given entity.
-
B.
trophyCount
Indicates the number of trophies associated with a given entity.
-
C.
trophyUse
Indicates that an entity uses, employs, or utilizes a trophy in some manner or context.
-
D.
trophySponsor
Indicates that a sponsor provides financial or material support specifically for a trophy associated with an event, competition, or award.
-
E.
trophyCustodian
Indicates that one entity is responsible for holding, safeguarding, or managing a trophy on behalf of another entity or organization.
- 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad04d66c8190926ffcbff372643b |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:01 p.m.