Triple
T2301715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamilton Tiger-Cats |
E51746
|
entity |
| Predicate | hasTypeOfFootball |
P24689
|
FINISHED |
| Object | gridiron football |
—
|
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: gridiron football | Statement: [Hamilton Tiger-Cats, hasTypeOfFootball, gridiron football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfFootball Context triple: [Hamilton Tiger-Cats, hasTypeOfFootball, gridiron football]
-
A.
typeOfFootball
chosen
Indicates the specific code or variant of football that characterizes or classifies a given football-related entity.
-
B.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
C.
playedAssociationFootball
Indicates that an entity has participated in playing the sport of association football (soccer).
-
D.
hasGameType
Indicates that an entity (such as a game or match) is associated with a specific category or type of game.
-
E.
hasEsport
Indicates that an entity is associated with or participates in a specific electronic sports (esports) activity or competition.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcbabf01081908db3b42bc7c60444 |
completed | March 7, 2026, 6:54 a.m. |
| PD | Predicate disambiguation | batch_69abc58ad33c8190b8d68af41b6f5e07 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.