Triple
T35341207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Książ Castle |
E1020601
|
entity |
| Predicate | locatedInLandscapePark |
P206942
|
FINISHED |
| Object | Książ Landscape Park |
E1020602
|
NE 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: Książ Landscape Park | Statement: [Książ Castle, locatedInLandscapePark, Książ Landscape Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInLandscapePark Context triple: [Książ Castle, locatedInLandscapePark, Książ Landscape Park]
-
A.
locatedInParkLikeSetting
Indicates that something is situated within or directly surrounded by an environment resembling a park, typically featuring natural or landscaped outdoor elements.
-
B.
locatedWithinNationalLandscape
Indicates that one entity is geographically situated inside the boundaries of a designated national landscape area.
-
C.
countryParkLocatedOn
Indicates that a country park is situated on or within the area of a specified geographic feature or land unit.
-
D.
locatedInNationalOrProvincialPark
Indicates that one entity is situated within the boundaries of a national or provincial park.
-
E.
regionOfPark
Indicates that one entity is a geographic or administrative region that contains or is designated as a specific park.
- F. None of above. chosen
Provenance (5 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_69f76debb4e08190be52d89b8af2392d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a382cae6b088190967b69e3299c4e67 |
completed | June 21, 2026, 6:25 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.