Triple
T2466847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sciadopityaceae |
E55270
|
entity |
| Predicate | hasExtantGenusCount |
P12302
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Sciadopityaceae, hasExtantGenusCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExtantGenusCount Context triple: [Sciadopityaceae, hasExtantGenusCount, 1]
-
A.
hasExtantGenus
Indicates that a taxonomic group currently includes at least one genus that is still living (not extinct).
-
B.
hasGenus
Indicates that one entity belongs to, or is classified under, the biological genus represented by the other entity.
-
C.
numberOfGenera
chosen
Indicates the total count of genera associated with or contained within a given entity.
-
D.
genusIncludes
Indicates that a particular genus contains or encompasses the specified subordinate taxonomic entities (such as species or subspecies).
-
E.
hasExtinctSpecies
Indicates that at least one species associated with the subject entity is no longer extant (i.e., has gone extinct).
- 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0b3ea308190a6d8499c2a542c50 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:44 p.m.