Triple
T745042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cnidaria |
E15322
|
entity |
| Predicate | hasTissueLevelOrganization |
P18575
|
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: [Cnidaria, hasTissueLevelOrganization, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTissueLevelOrganization Context triple: [Cnidaria, hasTissueLevelOrganization, true]
-
A.
hasTissue
Indicates that one entity possesses, contains, or is associated with a specific tissue of another entity.
-
B.
hasOrganizationalStructure
Indicates that an entity possesses a defined internal arrangement of roles, responsibilities, and relationships that determine how it is organized and operates.
-
C.
hasMajorOrganization
Indicates that an entity is associated with or primarily represented by a major organization.
-
D.
subjectOrganization
Indicates that one entity serves as the organization to which another entity (such as a person, work, or activity) is affiliated or belongs.
-
E.
hasTypeOfOrganization
Indicates that an entity is classified as belonging to a particular type or category of organization.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a61217b881908592096b1edacb8a |
completed | March 1, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69a4a4ff10608190bfd60b4a1cb38f7d |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a57267c481909790a1fda3fced08 |
completed | March 1, 2026, 8:45 p.m. |
Created at: March 1, 2026, 7:37 p.m.