Triple
T37788241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sports Champions |
E942013
|
entity |
| Predicate | hasChallengeMode |
P199535
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Sports Champions, hasChallengeMode, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChallengeMode Context triple: [Sports Champions, hasChallengeMode, true]
-
A.
hasChallenge
Indicates that an entity faces, experiences, or is confronted with a particular difficulty, obstacle, or problem.
-
B.
hasChallengeFocus
Indicates that something is specifically oriented toward, concerned with, or centered on addressing a particular challenge or problem.
-
C.
hasClassChallenge
Indicates that a class or course is associated with a specific challenge, task, or problem set assigned to its participants.
-
D.
hasBeenChallengedFor
Indicates that an entity has been formally questioned, disputed, or contested specifically in relation to another entity or issue.
-
E.
hasBeenChallengedIn
Indicates that an entity has faced a challenge, contest, or dispute within a specified context, domain, or setting.
- 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_69f76ee5cb0c81909a363d1c929156c0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff409ff5548190849c2d50e99bd807 |
completed | May 9, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69ff401a5e188190a72f945e910b4a6c |
completed | May 9, 2026, 2:09 p.m. |
| PDg | Predicate description generation | batch_69ff409ee6ec819088b7c13fabed2ac2 |
completed | May 9, 2026, 2:11 p.m. |
Created at: May 3, 2026, 4:19 p.m.