Triple
T177743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweet Sixteen |
E3611
|
entity |
| Predicate | hasSeeding |
P6982
|
FINISHED |
| Object | teams seeded 1 through 16 in each region |
—
|
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: teams seeded 1 through 16 in each region | Statement: [Sweet Sixteen, hasSeeding, teams seeded 1 through 16 in each region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeeding Context triple: [Sweet Sixteen, hasSeeding, teams seeded 1 through 16 in each region]
-
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.
hasSpin
Indicates that one entity possesses or exhibits rotational motion or angular momentum.
-
C.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
D.
hasTrail
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
-
E.
hasLeader
Indicates that one entity serves as the leader or head of another entity.
- 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_69a25374990081909766d30c79a18e0e |
completed | Feb. 28, 2026, 2:31 a.m. |
| NER | Named-entity recognition | batch_69a258fe7bb08190a56f4a54cadd2fef |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a2566b53d481909c0ed40dd3719e8c |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2582b7f648190b0ef676b8bdc1c65 |
completed | Feb. 28, 2026, 2:51 a.m. |
Created at: Feb. 28, 2026, 2:39 a.m.