Triple
T32965619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anton Koberger |
E843358
|
entity |
| Predicate | numberOfPresses |
P203849
|
FINISHED |
| Object | multiple printing presses |
—
|
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: multiple printing presses | Statement: [Anton Koberger, numberOfPresses, multiple printing presses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPresses Context triple: [Anton Koberger, numberOfPresses, multiple printing presses]
-
A.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
-
B.
movementCount
Indicates the number of times a movement or relocation action has occurred between the related entities.
-
C.
buttonCount
Indicates the number of buttons associated with or present on a given entity.
-
D.
movementCountDescription
Indicates the textual description or explanation associated with a specific count or number of movements.
-
E.
numberOfRings
Indicates the quantity of rings associated with an entity.
- F. None of above. chosen
Provenance (4 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_69f3494af2808190ad98cec2f1bc0fe6 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a022348ae2881908eae1be79b6f6ff6 |
completed | May 11, 2026, 6:43 p.m. |
| PD | Predicate disambiguation | batch_6a0220beb6b08190981fb86363757517 |
completed | May 11, 2026, 6:32 p.m. |
| PDg | Predicate description generation | batch_6a0223480ba08190bcde952a61fc4641 |
completed | May 11, 2026, 6:43 p.m. |
Created at: May 1, 2026, 1:21 a.m.