Triple
T28456822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peneda-Gerês National Park |
E716733
|
entity |
| Predicate | onlyNationalParkOf |
P164742
|
FINISHED |
| Object | Portugal |
—
|
NE NERFINISHED |
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: Portugal | Statement: [Peneda-Gerês National Park, onlyNationalParkOf, Portugal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onlyNationalParkOf Context triple: [Peneda-Gerês National Park, onlyNationalParkOf, Portugal]
-
A.
nationalPark
Indicates that a location is designated and managed as a national park by a governing authority.
-
B.
nationalParkName
Indicates the name assigned to a national park.
-
C.
designatedAsNationalPark
Indicates that an area has been officially assigned the legal status and protections of a national park by an authorized governing body.
-
D.
nationalParkDesignationCountry
Indicates that a country is the one in which a particular area or site has been officially designated as a national park.
-
E.
oneOfLargestNationalParksIn
Indicates that the subject is among the largest national parks located within the specified place or region.
- 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_69efd6b76f8c8190a7ba908aca280942 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64ee0c2788190a94a04ad1902fd5e |
completed | May 2, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64e36c57c8190af09470a8d35512b |
completed | May 2, 2026, 7:19 p.m. |
Created at: April 28, 2026, 1:54 a.m.