Triple
T16441614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onchocercidae |
E399314
|
entity |
| Predicate | isParasitic |
P89700
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Onchocercidae, isParasitic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isParasitic Context triple: [Onchocercidae, isParasitic, true]
-
A.
parasitizes
Indicates a relationship in which one organism lives on or in another organism, deriving nutrients or benefits at the host’s expense.
-
B.
isInvasive
Indicates that one entity intrudes upon, spreads into, or encroaches on another entity or environment in a disruptive or unwanted manner.
-
C.
includesParasiticTaxa
chosen
Indicates that the referenced group or set contains taxa that live parasitically on or within other organisms.
-
D.
isPathogenOf
Indicates that one entity is a disease-causing agent (pathogen) that infects or causes illness in another entity.
-
E.
isSpurOf
Indicates that one entity is a secondary offshoot, branch, or derivative extension originating from another primary entity.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba91dc48190bc35db60f63d36d3 |
completed | April 18, 2026, 6:58 a.m. |
| PD | Predicate disambiguation | batch_69e22701d2288190bf8676050758f172 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.