Triple
T16148475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GRE Computer Science Test |
E391846
|
entity |
| Predicate | topicWeighting |
P5743
|
FINISHED |
| Object | heavy emphasis on algorithms and data structures |
—
|
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: heavy emphasis on algorithms and data structures | Statement: [GRE Computer Science Test, topicWeighting, heavy emphasis on algorithms and data structures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topicWeighting Context triple: [GRE Computer Science Test, topicWeighting, heavy emphasis on algorithms and data structures]
-
A.
sectorWeighting
Indicates the proportion or emphasis assigned to a particular sector within a broader portfolio, index, or classification.
-
B.
isHeavilyWeightedToward
chosen
Indicates that something is strongly biased or disproportionately oriented in favor of one side, option, or aspect over others.
-
C.
weightingMethod
Indicates how relative importance or influence is assigned to elements within a set, such as criteria, features, or data points, in a calculation or decision process.
-
D.
rankingImpact
Indicates how an entity’s position or level in a ranking is affected or influenced by another factor or action.
-
E.
peakImportance
Indicates that something reaches or represents the highest level of importance within a given context or timeframe.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d9551e081908391061b092ff31b |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.