Triple
T24522469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuc Phuong National Park |
E606569
|
entity |
| Predicate | reptileAndAmphibianSpeciesCount |
P6211
|
FINISHED |
| Object | over 100 species |
—
|
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 100 species | Statement: [Cuc Phuong National Park, reptileAndAmphibianSpeciesCount, over 100 species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reptileAndAmphibianSpeciesCount Context triple: [Cuc Phuong National Park, reptileAndAmphibianSpeciesCount, over 100 species]
-
A.
hasReptileSpecies
Indicates that one entity possesses, contains, or is associated with a reptile species as part of its characteristics or composition.
-
B.
numberOfSpecies
chosen
Indicates the count of distinct species associated with a given entity or context.
-
C.
speciesNumber
Indicates the numerical identifier or count associated with a particular species in a given context.
-
D.
typicalAmphibianSpecies
Indicates that the subject is a species that exemplifies the common or characteristic traits of amphibians.
-
E.
dominantSmallReptilesIn
Indicates that small reptiles are the primary or most influential reptile group within a specified location or environment.
- 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_69e2c4c85778819085f5da9af3569ad5 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:25 a.m.