Triple
T3300874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triple Crown (baseball) |
E69327
|
entity |
| Predicate | measurementUnitForRBI |
P39778
|
FINISHED |
| Object | runs batted in |
—
|
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: runs batted in | Statement: [Triple Crown (baseball), measurementUnitForRBI, runs batted in]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: measurementUnitForRBI Context triple: [Triple Crown (baseball), measurementUnitForRBI, runs batted in]
-
A.
unitOfMeasure
Indicates that one entity specifies the standard unit in which the quantity or value of another entity is measured.
-
B.
typeOfMeasure
Indicates that one entity specifies the kind or category of measurement used to quantify or evaluate another entity.
-
C.
isMetric
Indicates that something satisfies the properties required to be considered a metric, such as defining distances that obey non-negativity, identity, symmetry, and the triangle inequality.
-
D.
measuredAs
chosen
Indicates that one entity’s quantity, value, or property is expressed or recorded using another entity as its measurement or unit.
-
E.
typeOfUnit
Indicates that one entity specifies the kind or category of measurement unit that the other entity belongs to.
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0a7d224819080d9a638e08bb8a8 |
completed | March 8, 2026, 5:23 p.m. |
| PD | Predicate disambiguation | batch_69ada42625308190be257f16a623a410 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:11 p.m.