Triple
T11177213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiphophorus |
E264440
|
entity |
| Predicate | aquariumWaterType |
P851
|
FINISHED |
| Object | freshwater |
—
|
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: freshwater | Statement: [Xiphophorus, aquariumWaterType, freshwater]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aquariumWaterType Context triple: [Xiphophorus, aquariumWaterType, freshwater]
-
A.
waterType
chosen
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
-
B.
waterCondition
Indicates the state or quality of water affecting an entity, such as its cleanliness, safety, or suitability for a particular use.
-
C.
aquariumRequirement
Indicates that an entity has specific needs or conditions related to being kept in an aquarium.
-
D.
aquariumSection
Indicates a specific section or area within an aquarium to which something (e.g., an exhibit, organism, or object) is assigned or located.
-
E.
hasAquariumType
Indicates that an entity is associated with, or classified by, a specific type or category of aquarium.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8987e1081909b28a0bdb866beae |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75cf0e6e88190973694abe2990973 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.