Triple
T26705955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avemetatarsalia |
E673288
|
entity |
| Predicate | containsLargestTerrestrialAnimals |
P73618
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Avemetatarsalia, containsLargestTerrestrialAnimals, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsLargestTerrestrialAnimals Context triple: [Avemetatarsalia, containsLargestTerrestrialAnimals, true]
-
A.
hasTerrestrialWildlife
Indicates that a location or environment contains or supports wildlife that lives primarily on land.
-
B.
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.
-
C.
dominantLargeTerrestrialVertebrates
Indicates that the referenced entities are the primary or most ecologically influential large land-dwelling vertebrate animals in a given context or environment.
-
D.
hasLargeSpecies
Indicates that an entity possesses or includes at least one species that is considered large in size.
-
E.
hasMajorWildlife
Indicates that a location or area supports significant populations or habitats of important wildlife species.
- 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: April 27, 2026, 3:34 a.m.