Triple
T3705136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ranunculaceae |
E80872
|
entity |
| Predicate | includesLifeForm |
P2892
|
FINISHED |
| Object | annual herbs |
—
|
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: annual herbs | Statement: [Ranunculaceae, includesLifeForm, annual herbs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesLifeForm Context triple: [Ranunculaceae, includesLifeForm, annual herbs]
-
A.
lifeForm
chosen
Indicates that an entity is a living organism or belongs to a category of living organisms.
-
B.
hasLivingEnvironment
Indicates that an entity exists or resides within a particular living environment or habitat.
-
C.
supportsLife
Indicates that one entity provides conditions or resources that allow another entity to live, grow, or remain biologically viable.
-
D.
hasLivingSpecies
Indicates that an entity currently contains, supports, or is associated with one or more species that are alive or extant.
-
E.
isMulticellular
Indicates that an organism consists of multiple cells organized into a single functional individual.
- 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_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc54bbfcc8190bec9c16e3749c3b1 |
completed | March 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69adc041a8608190a2d543dab6d2ef6c |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:33 p.m.