Triple
T4162187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabidopsis thaliana |
E91554
|
entity |
| Predicate | hasChromosomeNumber |
P13235
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Arabidopsis thaliana, hasChromosomeNumber, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChromosomeNumber Context triple: [Arabidopsis thaliana, hasChromosomeNumber, 5]
-
A.
chromosomeNumber
chosen
Indicates the specific count of chromosomes associated with an organism, cell, or genetic entity.
-
B.
hasChromosomeType
Indicates a relationship where an entity is associated with or characterized by a specific type or category of chromosome.
-
C.
hasNumberOfChome
Indicates the specific count of chome (numbered district units) associated with a given area or address.
-
D.
hasCanonicalNumberOfHeads
Indicates that an entity possesses the standard or officially recognized number of heads for its kind.
-
E.
genomeSize
Indicates the total amount of genetic material (e.g., in base pairs) contained in an organism’s genome.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0321eee88190871c1d4bf44a5007 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018dc90c8190a754b1bfbc802e80 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:44 p.m.