Triple
T780533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midwest Region |
E16485
|
entity |
| Predicate | hasLowestSeed |
P6063
|
FINISHED |
| Object | No. 16 seed |
—
|
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: No. 16 seed | Statement: [Midwest Region, hasLowestSeed, No. 16 seed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowestSeed Context triple: [Midwest Region, hasLowestSeed, No. 16 seed]
-
A.
hasLow
Indicates that an entity possesses a value, level, or amount of something that is below a defined or expected threshold.
-
B.
hasSeedCount
Indicates that an entity possesses a specific number of seeds.
-
C.
lowestRank
chosen
Indicates that the subject has the least or worst rank in an ordered set compared to all other related entities.
-
D.
hasLower
Indicates that one entity is positioned at a lower level, rank, or value relative to another entity.
-
E.
hasSeeding
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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a90365648190ace53b0f0e87aa68 |
completed | March 1, 2026, 9 p.m. |
| PD | Predicate disambiguation | batch_69a4a50bd23081908908235b8ec9201e |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.