Triple
T6649721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juventus Women |
E150788
|
entity |
| Predicate | inceptionAsSectionOfClub |
P72062
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Juventus Women, inceptionAsSectionOfClub, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inceptionAsSectionOfClub Context triple: [Juventus Women, inceptionAsSectionOfClub, 2017]
-
A.
inceptionPart
Indicates that one entity represents a component, segment, or phase within the initial creation or starting process of another entity.
-
B.
involvesClub
Indicates that an action, event, or relationship includes or is associated with a specific club as a participating entity.
-
C.
inceptionAsSpecialAchievement
Indicates the point in time or event at which something is formally established, initiated, or recognized specifically as a special achievement.
-
D.
inceptionAsSymbol
Indicates that one entity begins to function or be recognized as a symbolic representation or emblem of another entity.
-
E.
inceptionQualifier
Indicates the specific manner, condition, or contextual detail that qualifies how or when an inception or beginning of something takes place.
- 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_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. |
| PDg | Predicate description generation | batch_69c6cc988c0081909d22b86ca299331c |
completed | March 27, 2026, 6:29 p.m. |
Created at: March 27, 2026, 2:01 p.m.