Triple
T6753826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cornell College |
E154402
|
entity |
| Predicate | numberOfBlocksPerYear |
P30902
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Cornell College, numberOfBlocksPerYear, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBlocksPerYear Context triple: [Cornell College, numberOfBlocksPerYear, 8]
-
A.
blocksPerYear
chosen
Indicates the number of blocks produced or expected to be produced within a one-year period.
-
B.
estimatedNumberOfBlocks
Indicates the approximate count of discrete blocks associated with or involved in the given entity or context.
-
C.
approximateBlockLength
Indicates that one entity specifies or estimates the length of a block in an approximate or non-exact manner.
-
D.
averageBlockTimeMinutes
Indicates the typical number of minutes it takes to produce or confirm one block in a given system or network.
-
E.
hasAverageYearLength
Indicates that one entity has a specified average duration for its year (orbital period), typically measured over time.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d327e37081909d576e6eff9eec97 |
completed | March 27, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69c6d09227108190b253b91967831a85 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:11 p.m.