Triple
T25402206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coining the term "Dinosauria" |
E636453
|
entity |
| Predicate | basedOnGenera |
P7125
|
FINISHED |
| Object | Megalosaurus |
—
|
NE NERFINISHED |
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: Megalosaurus | Statement: [coining the term "Dinosauria", basedOnGenera, Megalosaurus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnGenera Context triple: [coining the term "Dinosauria", basedOnGenera, Megalosaurus]
-
A.
basedOnBy
Indicates that one entity is derived from, justified by, or constructed using another entity as its source, foundation, or reference.
-
B.
hasGenera
Indicates a taxonomic relationship in which a higher-level group (such as a family or subfamily) includes one or more genera as its subordinate members.
-
C.
basedOnFamilyOf
Indicates that one entity is derived from, modeled after, or determined by the family, lineage, or familial characteristics of another entity.
-
D.
isBasedOn
chosen
Indicates that one entity is derived from, inspired by, or developed using the content, structure, or principles of another entity.
-
E.
recognizedGenera
Indicates that one entity formally acknowledges or accepts another entity as a valid genus within a taxonomic or classificatory system.
- 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_69e75db361d881908d8701c856da6413 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 21, 2026, 1:52 p.m.