Triple
T36827293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charophyta |
E910044
|
entity |
| Predicate | sharesTraitWithLandPlants |
P82286
|
FINISHED |
| Object | phragmoplast formation during cell division |
—
|
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: phragmoplast formation during cell division | Statement: [Charophyta, sharesTraitWithLandPlants, phragmoplast formation during cell division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesTraitWithLandPlants Context triple: [Charophyta, sharesTraitWithLandPlants, phragmoplast formation during cell division]
-
A.
seedPlant
Indicates the action of placing seeds into soil or another growing medium to initiate the growth of plants.
-
B.
hasSporophyteCharacteristic
Indicates that an entity possesses a characteristic or trait associated with the sporophyte stage of a life cycle.
-
C.
plantKingdom
Indicates that the subject belongs to, or is classified within, the plant kingdom.
-
D.
criterionForPlantae
chosen
Indicates that something serves as a defining condition or standard used to classify or recognize members of the Plantae (plant) kingdom.
-
E.
isLandPlant
Indicates that an entity is a plant that primarily lives and grows on land rather than in aquatic environments.
- 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_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00a22e32f481909b6006c5b1cdefd3 |
completed | May 10, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_6a00a1bd9c908190b4aa17a61f48126f |
completed | May 10, 2026, 3:18 p.m. |
Created at: May 3, 2026, 4:13 p.m.