Triple
T19651334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T206 Honus Wagner baseball card |
E471821
|
entity |
| Predicate | estimatedKnownCopies |
P120121
|
FINISHED |
| Object | fewer than 60 |
—
|
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: fewer than 60 | Statement: [T206 Honus Wagner baseball card, estimatedKnownCopies, fewer than 60]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedKnownCopies Context triple: [T206 Honus Wagner baseball card, estimatedKnownCopies, fewer than 60]
-
A.
estimatedCopiesPrinted
Indicates the approximate number of copies of an item that have been printed.
-
B.
estimatedNumberOfRemains
Indicates the approximate count of human or other remains associated with an entity, based on estimation rather than an exact measurement.
-
C.
hasApproximateVellumCopies
Indicates that one entity possesses or is associated with a number of vellum copies that is approximate rather than exact.
-
D.
estimatedNumberOfItems
chosen
Indicates the approximate count or quantity of items associated with the subject, typically when the exact number is unknown or uncertain.
-
E.
approximateProductionNumber
Indicates that one entity specifies an estimated or non-exact quantity associated with the production output of another entity.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64141f61c819098fe148581fb1747 |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e941008190898d978d7bde91e4 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.