Triple
T24775170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AS Roma Women |
E619840
|
entity |
| Predicate | regularlyChallengesFor |
P157720
|
FINISHED |
| Object | European qualification |
—
|
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: European qualification | Statement: [AS Roma Women, regularlyChallengesFor, European qualification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regularlyChallengesFor Context triple: [AS Roma Women, regularlyChallengesFor, European qualification]
-
A.
regularlyChallengesFor
chosen
Indicates a recurring pattern in which one entity challenges another entity for something, such as a position, resource, or status.
-
B.
hasCreativeChallenges
Indicates that an entity experiences or is associated with difficulties, obstacles, or demanding tasks in the process of creating or producing something.
-
C.
activityChallenged
Indicates that one entity has questioned, disputed, or formally contested the validity, appropriateness, or outcome of an activity involving another entity.
-
D.
hasChallenge
Indicates that an entity faces, experiences, or is confronted with a particular difficulty, obstacle, or problem.
-
E.
challengeUndertaken
Indicates that an entity has accepted and is actively engaging in a specific challenge or demanding task.
- 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_69e2fabd04488190a2d13c97be745a2d |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 4:33 a.m.