Triple
T13092903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Chemics |
E310507
|
entity |
| Predicate | associatedWithCode |
P80674
|
FINISHED |
| Object | rugby league 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: rugby league football | Statement: [The Chemics, associatedWithCode, rugby league football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCode Context triple: [The Chemics, associatedWithCode, rugby league football]
-
A.
associatedWithAssociation
Indicates a relationship where an entity is linked or connected to a particular association or organization.
-
B.
associatedWithCondition
Indicates that an entity has a relevant connection or linkage to a particular condition (such as a disease, state, or circumstance), without specifying the nature or strength of that connection.
-
C.
associatedWithMatch
Indicates a relationship where an entity is linked or connected to a particular match or matching event.
-
D.
associatedWithFlag
Indicates a relationship where an entity is linked or connected to a particular flag, such as a national, organizational, or symbolic banner.
-
E.
associatedWithStateCode
chosen
Indicates that an entity has a connection or linkage to a particular state identified by its state code.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9813acbac8190b2fe5e07287457cf |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d9803f6c508190bfadfbc2d00c2c64 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:03 p.m.