Triple
T35778086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emser pastilles |
E1034352
|
entity |
| Predicate | isManufacturedIn |
P3992
|
FINISHED |
| Object | Germany |
—
|
NE NERFINISHED |
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: Germany | Statement: [Emser pastilles, isManufacturedIn, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isManufacturedIn Context triple: [Emser pastilles, isManufacturedIn, Germany]
-
A.
isProducedIn
chosen
Indicates that something is created, manufactured, or generated within a particular place, context, or process.
-
B.
firstProductionPlace
Indicates the location where something was originally or first produced.
-
C.
manufacturedUnderContractIn
Indicates that something is produced or manufactured in a particular location under the terms of a contractual agreement.
-
D.
assemblyCountry
Indicates the country in which an item, product, or component is assembled.
-
E.
originallyProducedIn
Indicates that something was first created, manufactured, or brought into existence in a particular place or location.
- 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_69f76e14a1e081908eddd57bd6fdb3be |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a1fd19a88190968cb8775212e3ac |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:06 p.m.