Triple
T24034683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drawa River |
E595197
|
entity |
| Predicate | hasNationalParkSection |
P154596
|
FINISHED |
| Object | central course through Drawa National Park |
—
|
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: central course through Drawa National Park | Statement: [Drawa River, hasNationalParkSection, central course through Drawa National Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNationalParkSection Context triple: [Drawa River, hasNationalParkSection, central course through Drawa National Park]
-
A.
hasNationalParkSite
Indicates that a location, region, or jurisdiction contains or is home to at least one designated national park site.
-
B.
hasNationalParkServicePresence
Indicates that the National Park Service operates, manages, or maintains an official presence at the referenced location or entity.
-
C.
hasNationalScenicArea
Indicates that an entity is designated as or associated with a National Scenic Area.
-
D.
containsNaturalPark
Indicates that one entity geographically includes or encompasses a natural park within its boundaries.
-
E.
hasRegionalPark
Indicates that a place or administrative area contains or is served by a designated regional park.
- F. None of above. chosen
Provenance (4 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_69e288bf45f08190a1b6ed8cd0b9e86b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8d273d88190b0762f1ee317d811 |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 9:56 p.m.