Triple
T3872068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caenorhabditis elegans |
E92409
|
entity |
| Predicate | sexChromosomeCount |
P13235
|
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: [Caenorhabditis elegans, sexChromosomeCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sexChromosomeCount Context triple: [Caenorhabditis elegans, sexChromosomeCount, 1]
-
A.
chromosomeNumber
chosen
Indicates the specific count of chromosomes associated with an organism, cell, or genetic entity.
-
B.
sexDeterminationDetail
Indicates the specific mechanism or factors by which an organism’s sex is determined.
-
C.
hasNumberOfGenders
Indicates the relationship that specifies how many distinct genders are associated with or recognized for a given entity.
-
D.
sexualDimorphism
Indicates differences in physical characteristics between males and females of a species that are systematically associated with their sex.
-
E.
sexType
Indicates the specific category or type of sexual activity or sexual relationship involved between entities.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec5691148190b469af0bee9154db |
completed | March 9, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69aee754dddc8190936e1f9c40a770db |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:20 p.m.