Triple
T36207461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xanthophyceae |
E1047438
|
entity |
| Predicate | asexualMethod |
P69970
|
FINISHED |
| Object | zoospore formation |
—
|
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: zoospore formation | Statement: [Xanthophyceae, asexualMethod, zoospore formation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: asexualMethod Context triple: [Xanthophyceae, asexualMethod, zoospore formation]
-
A.
hasAsexualMorph
chosen
Indicates that an entity possesses or is associated with an asexual morphological form in its life cycle.
-
B.
asexualMorphOftenPlacedIn
Indicates that an asexual morph of an organism is frequently assigned or located within a particular taxonomic group or classification.
-
C.
hasSexualityCharacteristic
Indicates that an entity possesses a specific sexual orientation or sexuality-related characteristic.
-
D.
coneSex
Indicates a sexual or mating relationship involving a cone-shaped structure or entity.
-
E.
standardSex
Indicates that two entities share the same biological sex or gender classification.
- 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_69f76e4214748190a76c986d2a1838c2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b57b8c5081909ba41145ba7753d1 |
completed | May 3, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:09 p.m.