Triple
T798550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Region |
E17075
|
entity |
| Predicate | seedingOrder |
P6982
|
FINISHED |
| Object | 1 through 16 |
—
|
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: 1 through 16 | Statement: [East Region, seedingOrder, 1 through 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seedingOrder Context triple: [East Region, seedingOrder, 1 through 16]
-
A.
usesSeeding
Indicates that an entity employs a seeding process or strategy to initiate, distribute, or propagate something (such as data, content, or resources).
-
B.
determinesSeedingFor
Indicates that one entity is used to decide or assign the ranking, placement, or initial position (seeding) of another entity within a structured order or competition.
-
C.
establishedInOrder
Indicates that one entity was created, founded, or formally set up as a result of, or in accordance with, a specific order, directive, or mandate.
-
D.
selectionOrderAdjustment
Indicates a modification to the original order in which items or options were selected, such as reordering or adjusting their selection sequence.
-
E.
hasSeeding
chosen
Indicates that an entity is assigned or associated with a specific seeding position or rank, typically for ordering or placement in a competitive or structured context.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7b4d9548190aad5fdf1211cf8cd |
completed | March 1, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69a4a5122a008190b0c621b7bc588d41 |
completed | March 1, 2026, 8:44 p.m. |
Created at: March 1, 2026, 7:38 p.m.