Triple
T18921273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barger-Compascuum |
E462861
|
entity |
| Predicate | hasOpenAirMuseumTheme |
P60618
|
FINISHED |
| Object | peat-cutting village life |
—
|
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: peat-cutting village life | Statement: [Barger-Compascuum, hasOpenAirMuseumTheme, peat-cutting village life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpenAirMuseumTheme Context triple: [Barger-Compascuum, hasOpenAirMuseumTheme, peat-cutting village life]
-
A.
hasMuseumTheme
chosen
Indicates that something (such as a museum, exhibit, or collection) is characterized by or dedicated to a particular thematic focus.
-
B.
isPublicMuseum
Indicates that an institution operates as a museum that is open and accessible to the general public, typically under public or non-profit ownership or management.
-
C.
hasMuseumComponent
Indicates that something includes, contains, or is composed of a museum or museum-related part as one of its components.
-
D.
hasMuseumFunction
Indicates that an entity serves the role or performs the function of a museum.
-
E.
hasOutdoorExhibits
Indicates that a place or institution includes exhibits or displays located in outdoor or open-air areas.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9b3b93c819085032d8251a43ca8 |
completed | April 20, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:59 a.m.