Triple
T26067458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Three basketball series |
E657441
|
entity |
| Predicate | hasTrophyOrTitle |
P73147
|
FINISHED |
| Object | Little Three basketball title |
—
|
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: Little Three basketball title | Statement: [Little Three basketball series, hasTrophyOrTitle, Little Three basketball title]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrophyOrTitle Context triple: [Little Three basketball series, hasTrophyOrTitle, Little Three basketball title]
-
A.
hasTrophyStatus
Indicates that an entity possesses a particular trophy-related status or classification.
-
B.
hasTrophyForm
Indicates that one entity exists in, or is characterized by, a special trophy-like form or version of another entity.
-
C.
hasRelatedTrophy
Indicates that there exists a trophy that is associated with, linked to, or relevant to the given entity.
-
D.
hasWonTitleType
chosen
Indicates that an entity has won a title of a specified type.
-
E.
isNamedTrophy
Indicates that an entity is a trophy that has been given a specific name or title.
- 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_69ee5bbe539081909efc7f9dd7c1b53c |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 26, 2026, 7:25 p.m.