Triple
T31934346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hortobágy National Park |
E815343
|
entity |
| Predicate | isLargestNationalParkOf |
P18734
|
FINISHED |
| Object | Hungary |
—
|
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: Hungary | Statement: [Hortobágy National Park, isLargestNationalParkOf, Hungary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLargestNationalParkOf Context triple: [Hortobágy National Park, isLargestNationalParkOf, Hungary]
-
A.
largestNationalPark
chosen
Indicates that the subject is the largest national park within the specified country or region.
-
B.
oneOfLargestNationalParksIn
Indicates that the subject is among the largest national parks located within the specified place or region.
-
C.
onlyNationalParkOf
Indicates that one entity is the sole national park associated with, or located within, a given region or jurisdiction.
-
D.
isFirstNationalParkIn
Indicates that a given national park holds the distinction of being the first established national park within a specified country or region.
-
E.
isLargestParkOf
Indicates that a park is the largest park within a specified area, region, or administrative entity.
- 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_69f348f3035c81908558e2339955abb3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b239024c81909c3b411b0bff1cbc |
completed | May 3, 2026, 2:26 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:05 a.m.