Triple
T3872073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caenorhabditis elegans |
E92409
|
entity |
| Predicate | cellCountAdultHermaphrodite |
P51600
|
FINISHED |
| Object | 959 somatic cells |
—
|
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: 959 somatic cells | Statement: [Caenorhabditis elegans, cellCountAdultHermaphrodite, 959 somatic cells]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cellCountAdultHermaphrodite Context triple: [Caenorhabditis elegans, cellCountAdultHermaphrodite, 959 somatic cells]
-
A.
mastCount
Indicates the number of masts associated with or present on a given entity.
-
B.
reproductiveType
Indicates the mode or strategy by which an organism reproduces or generates offspring.
-
C.
reproductionType
Indicates the mode or method by which an organism reproduces or generates offspring.
-
D.
hasNumberOfGenders
Indicates the relationship that specifies how many distinct genders are associated with or recognized for a given entity.
-
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. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69aee80858a481909961a33fb50ff8d1 |
completed | March 9, 2026, 3:32 p.m. |
Created at: March 9, 2026, 3:20 p.m.