Triple
T38509849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McNamara Division |
E921871
|
entity |
| Predicate | classOfTeams |
P2705
|
FINISHED |
| Object | short-season Class A teams |
—
|
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: short-season Class A teams | Statement: [McNamara Division, classOfTeams, short-season Class A teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classOfTeams Context triple: [McNamara Division, classOfTeams, short-season Class A teams]
-
A.
typeOfTeams
chosen
Indicates the categories or kinds of teams to which an entity or group of entities belongs.
-
B.
coreTeams
Indicates that the entities are part of the same primary or central team within an organization or project.
-
C.
hasTeamClassification
Indicates that an entity is assigned a specific team-based category or classification.
-
D.
teamNameType
Indicates the type or category associated with a team's name (e.g., formal name, short name, nickname).
-
E.
collegeTeam
Indicates that one entity is a sports team that represents or is affiliated with a particular college or university.
- 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_69f76ea3c5448190aa7002fc1ba3f874 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: May 3, 2026, 4:32 p.m.