Triple
T8028070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hinds Community College |
E186905
|
entity |
| Predicate | hasAthleticsLevel |
P63640
|
FINISHED |
| Object | junior college |
—
|
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: junior college | Statement: [Hinds Community College, hasAthleticsLevel, junior college]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAthleticsLevel Context triple: [Hinds Community College, hasAthleticsLevel, junior college]
-
A.
hasAthletics
Indicates that an entity participates in, is associated with, or offers athletics-related activities or programs.
-
B.
hasAthlete
Indicates a relationship where an entity (such as a team, organization, or event) includes or is associated with one or more athletes.
-
C.
hasAthleticProgramType
chosen
Indicates that an institution’s athletic program belongs to or is classified under a specific type or category of athletic program.
-
D.
governsSportLevel
Indicates that one entity has authority to set, control, or regulate the competitive level or tier at which a sport or sporting activity is conducted.
-
E.
typeOfAthlete
Indicates that one entity is an athlete and the other specifies the kind or category of athlete they are.
- 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3eccacb0819082f7c3d6fd48e3c4 |
completed | March 31, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69cb049253d08190bafcecfde493ab8b |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:21 p.m.