Triple
T19225510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lone Star rivalry |
E480727
|
entity |
| Predicate | featuresScoringSystem |
P135252
|
FINISHED |
| Object | all-sports points system between Texas and Texas A&M |
—
|
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: all-sports points system between Texas and Texas A&M | Statement: [Lone Star rivalry, featuresScoringSystem, all-sports points system between Texas and Texas A&M]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresScoringSystem Context triple: [Lone Star rivalry, featuresScoringSystem, all-sports points system between Texas and Texas A&M]
-
A.
featuresScoreBy
Indicates a scoring relationship where a feature or set of features is evaluated and assigned a score according to a specified criterion or entity.
-
B.
featuresOriginalScore
Indicates that an entity includes or is accompanied by its initial, unaltered score or musical composition.
-
C.
scoring
Indicates the act of achieving points or a measurable result, typically by successfully completing an action that contributes to a score or outcome.
-
D.
featuresSample
Indicates that an entity includes or presents a particular sample as one of its components or examples.
-
E.
featuresInfluence
Indicates that certain features or characteristics have an effect on or contribute to changes in other features, outcomes, or behaviors.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa97287c8190b85184a512a9c960 |
completed | April 20, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
| PDg | Predicate description generation | batch_69e4debc39ac81908b7c5ef797046360 |
completed | April 19, 2026, 1:55 p.m. |
Created at: April 10, 2026, 1:24 p.m.