Triple
T15262652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somphospondyli |
E364821
|
entity |
| Predicate | containsSomeOfLargestKnown |
P117826
|
FINISHED |
| Object | land animals |
—
|
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: land animals | Statement: [Somphospondyli, containsSomeOfLargestKnown, land animals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsSomeOfLargestKnown Context triple: [Somphospondyli, containsSomeOfLargestKnown, land animals]
-
A.
largestKnownMembers
Indicates that the related entities are the largest known members within a specified group, category, or set.
-
B.
isLargestOf
Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
-
C.
hasLargeScaleStructure
Indicates that an entity possesses or exhibits a large-scale structural organization or pattern, typically extending over substantial spatial or conceptual extents.
-
D.
isOneOfLargestConstellations
Indicates that the subject constellation belongs to the group of constellations with the greatest angular area in the sky.
-
E.
hasLargestSpecies
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.
- F. None of above. chosen
Provenance (4 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084fed0481908e452c89cba2be82 |
completed | April 15, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:14 a.m.