Triple
T28346737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dačice |
E717974
|
entity |
| Predicate | firstSugarCubeInventedIn |
P633
|
FINISHED |
| Object | 1843 |
—
|
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: 1843 | Statement: [Dačice, firstSugarCubeInventedIn, 1843]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSugarCubeInventedIn Context triple: [Dačice, firstSugarCubeInventedIn, 1843]
-
A.
wasInventedInYear
chosen
Indicates that an entity was created or invented in a specific calendar year.
-
B.
wasInventedBy
Indicates that something (typically an object, concept, or process) was created or brought into existence by a particular inventor or originator.
-
C.
inventedDuring
Indicates that an invention or concept was created or first developed within a specified time period or historical era.
-
D.
inventedIn
Indicates that an entity was created, devised, or first brought into existence during a specific time period or at a particular place.
-
E.
firstDeveloped
Indicates that one entity was the earliest to create, originate, or bring another entity into existence.
- 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_69eff6eb30388190b898b96c4be6f49d |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69fffc783b648190bcd7df017514d206 |
completed | May 10, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69fffc03fa24819099e12413dc6e0afd |
completed | May 10, 2026, 3:31 a.m. |
Created at: April 28, 2026, 12:43 a.m.