Triple
T15099900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish chronicles |
E360635
|
entity |
| Predicate | oftenProducedIn |
P3992
|
FINISHED |
| Object | monasteries in Poland |
—
|
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: monasteries in Poland | Statement: [Polish chronicles, oftenProducedIn, monasteries in Poland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenProducedIn Context triple: [Polish chronicles, oftenProducedIn, monasteries in Poland]
-
A.
isProducedIn
chosen
Indicates that something is created, manufactured, or generated within a particular place, context, or process.
-
B.
isFrequentlyProducedBy
Indicates that something is commonly or regularly generated, created, or brought about by a particular entity or source.
-
C.
firstProductionPlace
Indicates the location where something was originally or first produced.
-
D.
appearsInWorkCountryOfOrigin
Indicates that an entity appears in a work whose country of origin is the specified country.
-
E.
isMajorProducerOf
Indicates that an entity plays a leading or highly significant role in producing or supplying a particular product, resource, or output.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0054f00388190a5123d9f4a869b96 |
completed | April 15, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69deb9645b9c8190a5712456dbd78029 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:04 a.m.