Triple
T1464844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USSF Division 2 Professional League |
E31596
|
entity |
| Predicate | topTierRelation |
P28854
|
FINISHED |
| Object | below Major League Soccer |
—
|
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: below Major League Soccer | Statement: [USSF Division 2 Professional League, topTierRelation, below Major League Soccer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topTierRelation Context triple: [USSF Division 2 Professional League, topTierRelation, below Major League Soccer]
-
A.
topTierUntil
Indicates that an entity holds a top-tier or highest-status position only up to a specified point in time, after which this status no longer applies.
-
B.
firstTier
Indicates that one entity occupies the highest or primary level, rank, or priority relative to others in a hierarchical structure.
-
C.
thirdTier
Indicates that an entity occupies a third level or rank within a hierarchical structure or classification.
-
D.
titleRelation
Indicates a relationship where one entity serves as the title, designation, or formal name associated with another entity.
-
E.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
- F. None of above. chosen
Provenance (4 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5ba2d5c81909ee85713de961fcb |
completed | March 1, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69a4c48121e48190946c23c583e5fb64 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c55508948190922aee3230a4323e |
completed | March 1, 2026, 11:01 p.m. |
Created at: March 1, 2026, 8 p.m.