Triple
T16495047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leptothecata |
E400659
|
entity |
| Predicate | typicalPolypType |
P123764
|
FINISHED |
| Object | colonial hydroid |
—
|
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: colonial hydroid | Statement: [Leptothecata, typicalPolypType, colonial hydroid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPolypType Context triple: [Leptothecata, typicalPolypType, colonial hydroid]
-
A.
polypSymmetry
Indicates the type or pattern of body symmetry exhibited by a polyp form in an organism.
-
B.
gutType
Indicates the type or classification of a digestive tract or gut associated with an entity.
-
C.
typicalLesionLobe
Indicates the brain lobe in which a particular lesion type most commonly or characteristically occurs.
-
D.
stomachType
Indicates the kind or classification of stomach an entity has, typically describing its structural or functional type.
-
E.
typicalSegmentType
Indicates that something is classified as belonging to a usual or characteristic type of segment within a broader structure or sequence.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e3276b88190946a669b4d893a54 |
completed | April 18, 2026, 7:09 a.m. |
| PD | Predicate disambiguation | batch_69e296902d6c8190884ddb612b8c5b36 |
completed | April 17, 2026, 8:22 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:14 a.m.