Triple
T11608226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stad en Lande |
E275315
|
entity |
| Predicate | LandeRefersTo |
P96827
|
FINISHED |
| Object | surrounding countryside |
—
|
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: surrounding countryside | Statement: [Stad en Lande, LandeRefersTo, surrounding countryside]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LandeRefersTo Context triple: [Stad en Lande, LandeRefersTo, surrounding countryside]
-
A.
land
Indicates coming down from the air or a higher position to make contact with and settle on a surface.
-
B.
landComponent
Indicates that one entity is a physical land portion or segment that forms part of a larger land area or land-related whole.
-
C.
landRelation
Indicates a spatial or ownership-based relationship between entities and a specific piece or area of land.
-
D.
refersToTerritory
chosen
Indicates that one entity designates, mentions, or is associated with a specific geographic area or territorial domain.
-
E.
refersToLocation
Indicates that one entity designates, points to, or identifies a specific location associated with it.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a04231d08190b8a07cd977d11ffa |
completed | April 10, 2026, 7:01 a.m. |
| PD | Predicate disambiguation | batch_69d85dd20d188190863d1190d4c16048 |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.