Triple
T21660258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trematoda |
E534575
|
entity |
| Predicate | hasAttachmentOrgans |
P65198
|
FINISHED |
| Object | oral sucker |
—
|
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: oral sucker | Statement: [Trematoda, hasAttachmentOrgans, oral sucker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAttachmentOrgans Context triple: [Trematoda, hasAttachmentOrgans, oral sucker]
-
A.
hasAttachmentOrgan
chosen
Indicates that one entity possesses a specific anatomical or structural organ used to attach, anchor, or fasten it to another entity or substrate.
-
B.
hasTrueOrgans
Indicates that an entity possesses fully developed, functional organs rather than primitive or rudimentary structures.
-
C.
hasOrganSystem
Indicates that an entity possesses or is associated with a particular organ system as part of its biological structure or function.
-
D.
hasOrganStructure
Indicates that one entity possesses, contains, or is characterized by a particular organ structure.
-
E.
имеетОрган
Indicates that one entity possesses or contains a specific organ as a part of its body.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c07bcb88190a9864672c20325ff |
completed | April 27, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:36 p.m.