Triple
T4460252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oscypek |
E98233
|
entity |
| Predicate | productionSite |
P5255
|
FINISHED |
| Object | shepherds’ huts in mountain pastures |
—
|
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: shepherds’ huts in mountain pastures | Statement: [Oscypek, productionSite, shepherds’ huts in mountain pastures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionSite Context triple: [Oscypek, productionSite, shepherds’ huts in mountain pastures]
-
A.
mainManufacturingSite
chosen
Indicates the primary location where an entity’s products are manufactured or produced.
-
B.
constructionSite
Indicates that an entity is a location or area where construction work is actively taking place or is planned to occur.
-
C.
productionScale
Indicates the relative size or volume at which something is produced, such as small-scale, medium-scale, or large-scale production.
-
D.
majorProductionHub
Indicates that a location serves as a primary center where large-scale production or manufacturing activities are concentrated.
-
E.
productionBy
Indicates that something is created, manufactured, or generated by a particular agent, organization, or process.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35673337c8190b923159791ec27e3 |
completed | March 13, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69b34f65f6448190abfadb2ae5658798 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:33 p.m.