Triple
T12513837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baseball5 |
E299146
|
entity |
| Predicate | numberOfBases |
P60360
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Baseball5, numberOfBases, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBases Context triple: [Baseball5, numberOfBases, 4]
-
A.
numberOfBasesInvolved
chosen
Indicates the count of distinct bases or locations that participate in a given event, operation, or relationship.
-
B.
hasBaseCount
Indicates the number of base units or fundamental components associated with an entity.
-
C.
chromosomeBaseNumber
Indicates the fundamental or characteristic number of distinct chromosomes that typically occur in a complete (haploid) set for a given organism or taxon.
-
D.
hasNitrogenousBase
Indicates that one entity possesses or is associated with a specific nitrogenous base as a component or characteristic.
-
E.
estimatedNumberOfGenes
Indicates the approximate count of genes that an entity (such as an organism or genome) is believed to possess.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.