Triple
T19838166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caspian tern |
E476652
|
entity |
| Predicate | isLargestSpeciesOf |
P73618
|
FINISHED |
| Object | terns |
—
|
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: terns | Statement: [Caspian tern, isLargestSpeciesOf, terns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLargestSpeciesOf Context triple: [Caspian tern, isLargestSpeciesOf, terns]
-
A.
hasLargestSpecies
chosen
Indicates that one entity possesses, contains, or is associated with the species that is largest in size or extent within a given group or context.
-
B.
hasLargeSpecies
Indicates that an entity possesses or includes at least one species that is considered large in size.
-
C.
largestLiving
Indicates that the subject is the largest currently living instance of a given type or within a specified group or context.
-
D.
hasDominantSpecies
Indicates that one entity possesses or is characterized by a species that is predominant or most influential within it.
-
E.
dominantLargeTerrestrialVertebrates
Indicates that the referenced entities are the primary or most ecologically influential large land-dwelling vertebrate animals in a given context 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65803bb988190a4e7c0035058feba |
completed | April 20, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69e5305bda388190a23b7191768107b1 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:50 p.m.