Triple
T2614205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basellaceae |
E58847
|
entity |
| Predicate | geographicDiversity |
P12301
|
FINISHED |
| Object | highest in tropical Americas |
—
|
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: highest in tropical Americas | Statement: [Basellaceae, geographicDiversity, highest in tropical Americas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicDiversity Context triple: [Basellaceae, geographicDiversity, highest in tropical Americas]
-
A.
geographicDiversityRequirement
Indicates a requirement that entities involved must be distributed across different geographic areas or locations rather than concentrated in a single place.
-
B.
hasDiverseLandscape
Indicates that an entity possesses a variety of distinct physical or environmental features within its geographic area.
-
C.
geographicDistribution
Indicates the spatial range or area over which something occurs, exists, or is found.
-
D.
centerOfDiversity
chosen
Indicates the location where a particular group, trait, or phenomenon exhibits its greatest variety or concentration of diversity.
-
E.
hasGeographyCharacteristic
Indicates that an entity possesses a specific geographical feature, property, or attribute.
- 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_69ab4ac444dc819099614e534dd6021f |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd89325308190985598373eb0d296 |
completed | March 7, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69abd80cd7fc81909e9696db2919129f |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.