Triple
T6005925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neurospora crassa |
E133709
|
entity |
| Predicate | matingTypeLoci |
P8731
|
FINISHED |
| Object | mat A |
—
|
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: mat A | Statement: [Neurospora crassa, matingTypeLoci, mat A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: matingTypeLoci Context triple: [Neurospora crassa, matingTypeLoci, mat A]
-
A.
recognizedSexLinkedTraits
Indicates that an entity has identified and acknowledged traits whose inheritance is linked to sex chromosomes.
-
B.
reproductiveType
Indicates the mode or strategy by which an organism reproduces or generates offspring.
-
C.
matingSystem
chosen
Indicates the type or pattern of reproductive pairing or mating relationships that typically occurs within a species or population.
-
D.
sexDeterminationDetail
Indicates the specific mechanism or factors by which an organism’s sex is determined.
-
E.
sexualDimorphism
Indicates differences in physical characteristics between males and females of a species that are systematically associated with their sex.
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f128354819088971ee398cbda77 |
completed | March 22, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69c049e4daf4819099bf870dc700e0a2 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:06 p.m.