Triple
T2315763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lycopodiophyta |
E51058
|
entity |
| Predicate | chromosomeType |
P4612
|
FINISHED |
| Object | haploid spores |
—
|
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: haploid spores | Statement: [Lycopodiophyta, chromosomeType, haploid spores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chromosomeType Context triple: [Lycopodiophyta, chromosomeType, haploid spores]
-
A.
chromosomeNumber
Indicates the specific count of chromosomes associated with an organism, cell, or genetic entity.
-
B.
hasChromosomeType
chosen
Indicates a relationship where an entity is associated with or characterized by a specific type or category of chromosome.
-
C.
cellType
Indicates the classification relationship that specifies what type of cell an entity is or is associated with.
-
D.
hasGenomeType
Indicates that an entity possesses or is characterized by a specific type or classification of genome.
-
E.
guthrieClassification
Indicates a categorization relationship where an entity is assigned a class or type according to the Guthrie classification system.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc685f05481909c863b29d1f6bacd |
completed | March 7, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69abc58e88e481908733fdf79d3f8a15 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.