Triple
T3052419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kakadu National Park |
E60399
|
entity |
| Predicate | numberOfFishSpecies |
P6211
|
FINISHED |
| Object | over 50 |
—
|
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: over 50 | Statement: [Kakadu National Park, numberOfFishSpecies, over 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFishSpecies Context triple: [Kakadu National Park, numberOfFishSpecies, over 50]
-
A.
numberOfSpecies
chosen
Indicates the count of distinct species associated with a given entity or context.
-
B.
hasPrimaryFishSpecies
Indicates that an entity is characterized by or associated with a particular main or dominant fish species.
-
C.
fishFamily
Indicates that one entity is a member of the same biological family (taxonomic family) of fishes as the other entity.
-
D.
numberOfGenera
Indicates the total count of genera associated with or contained within a given entity.
-
E.
stateFish
Indicates that an entity is a fish that serves as the official state fish of a particular political region.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9bf3c52c8190bbe8e5cb98c21715 |
completed | March 8, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69ad962195388190856013a2519c2b0f |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.