Triple
T17749808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Placozoa |
E443082
|
entity |
| Predicate | organOrganization |
P128641
|
FINISHED |
| Object | lacking true organs |
—
|
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: lacking true organs | Statement: [Placozoa, organOrganization, lacking true organs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organOrganization Context triple: [Placozoa, organOrganization, lacking true organs]
-
A.
subjectOrganization
Indicates that one entity serves as the organization to which another entity (such as a person, work, or activity) is affiliated or belongs.
-
B.
organización
Indicates that an entity is an organization or participates in an organizational structure or grouping.
-
C.
organizationName
Indicates that an entity has a specific official name as an organization.
-
D.
organizationLed
Indicates that one organization provides leadership, direction, or governance over another organization or collective effort.
-
E.
organType
Indicates that one entity is classified as a specific type or category of organ in relation to another entity.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48418c0188190beb31809b40e4648 |
completed | April 19, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69e3cde9dc288190af0e2198487f2051 |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 10:10 a.m.