Triple
T2958562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ranunculidae |
E79990
|
entity |
| Predicate | hasCommonNameElement |
P13147
|
FINISHED |
| Object | buttercup group |
—
|
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: buttercup group | Statement: [Ranunculidae, hasCommonNameElement, buttercup group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommonNameElement Context triple: [Ranunculidae, hasCommonNameElement, buttercup group]
-
A.
includesCommonName
chosen
Indicates that one entity contains or specifies a commonly used (non-scientific) name for another entity.
-
B.
commonNameOf
Indicates that one entity is the commonly used or popular name by which the other entity is known.
-
C.
hasComponentName
Indicates that an entity includes or is associated with a component identified by a specific name.
-
D.
commonName
Indicates that one entity is the commonly used or vernacular name by which the other entity is known.
-
E.
hasGenericName
Indicates that an entity is associated with a non-brand, generic name that designates its general type or class.
- 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad992c4c7c819084b5bef299255181 |
completed | March 8, 2026, 3:43 p.m. |
| PD | Predicate disambiguation | batch_69ad960c5c8881909d679912bd7d78f3 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:57 p.m.