Triple
T23524037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Defensores del Chaco National Park |
E574584
|
entity |
| Predicate | largestNationalParkOf |
P18734
|
FINISHED |
| Object | Paraguay |
—
|
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: Paraguay | Statement: [Defensores del Chaco National Park, largestNationalParkOf, Paraguay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestNationalParkOf Context triple: [Defensores del Chaco National Park, largestNationalParkOf, Paraguay]
-
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.
largestParkArea
Indicates that, among a set of entities, one has the park whose area is greater than or equal to that of any other entity’s park.
-
D.
nationalPark
Indicates that a location is designated and managed as a national park by a governing authority.
-
E.
oneOfOldestNationalParksIn
Indicates that the subject is among the earliest-established national parks within the specified place or jurisdiction.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1ac71ec8881909bfb706efdc2518f |
completed | April 29, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:09 p.m.