Triple
T1996648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nile tilapia |
E43373
|
entity |
| Predicate | sexControlTechnique |
P35347
|
FINISHED |
| Object | hormone-induced masculinization |
—
|
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: hormone-induced masculinization | Statement: [Nile tilapia, sexControlTechnique, hormone-induced masculinization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sexControlTechnique Context triple: [Nile tilapia, sexControlTechnique, hormone-induced masculinization]
-
A.
reproductiveFeature
Indicates a relationship where an entity possesses or is characterized by a particular reproductive trait, structure, or capability.
-
B.
fertilizationType
Indicates the method or process by which fertilization occurs or is achieved between reproductive cells.
-
C.
coneSex
Indicates a sexual or mating relationship involving a cone-shaped structure or entity.
-
D.
reproductiveType
Indicates the mode or strategy by which an organism reproduces or generates offspring.
-
E.
reproductiveSystem
Indicates a relationship where one entity is the reproductive system of another, responsible for producing offspring or reproductive cells.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb91055d88190a980e7b42e5895d4 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb79c97d48190b3147430ed39faa9 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb90ec7948190bbfb0329e9e67cca |
completed | March 7, 2026, 5:35 a.m. |
Created at: March 4, 2026, 7:37 p.m.