Triple
T3956442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Division |
E85789
|
entity |
| Predicate | formatRole |
P35800
|
FINISHED |
| Object | determining standings for knockout qualification |
—
|
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: determining standings for knockout qualification | Statement: [East Division, formatRole, determining standings for knockout qualification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formatRole Context triple: [East Division, formatRole, determining standings for knockout qualification]
-
A.
notationRole
Indicates a role or function that an entity plays specifically within a system of notation or symbolic representation.
-
B.
formatMayChange
Indicates that the format or structure of something is subject to modification and may not remain consistent over time.
-
C.
displayRole
Indicates the role or position an entity holds in the context of how it is presented or shown in a display.
-
D.
formatPartOf
chosen
Indicates that one entity functions as a component or segment within the overall structure or composition of another entity.
-
E.
encodingRole
Indicates the role or function an entity has in the process of encoding information into a particular form or representation.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa5afdc8190b709af2473d75d02 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8ed04e4819096bced8971cd888d |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:31 p.m.