Triple
T479690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WPI Engineers |
E9138
|
entity |
| Predicate | sportingRivalryType |
P8277
|
FINISHED |
| Object | academic engineering rivalry |
—
|
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: academic engineering rivalry | Statement: [WPI Engineers, sportingRivalryType, academic engineering rivalry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sportingRivalryType Context triple: [WPI Engineers, sportingRivalryType, academic engineering rivalry]
-
A.
divisionRivalry
Indicates a competitive or adversarial relationship between entities that belong to the same division or subgroup within a larger organization or system.
-
B.
rivalryName
Indicates that a specific name or label is assigned to a rivalry relationship between two entities.
-
C.
notableRivalry
Indicates a significant, well-recognized competitive or adversarial relationship between two entities.
-
D.
hasRivalryAspect
chosen
Indicates that there exists a competitive or adversarial relationship or dimension between entities.
-
E.
rivalLeague
Indicates that two leagues are in competition with each other, typically vying for similar audiences, resources, or status.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f057c4ac819080cf43ffaa56c350 |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edf1d5848190a7da27e2fddc136f |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.