Triple
T7205912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aglaophyton |
E148664
|
entity |
| Predicate | conductingTissueType |
P75817
|
FINISHED |
| Object | simple water-conducting cells |
—
|
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: simple water-conducting cells | Statement: [Aglaophyton, conductingTissueType, simple water-conducting cells]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conductingTissueType Context triple: [Aglaophyton, conductingTissueType, simple water-conducting cells]
-
A.
hasVascularTissue
Indicates that an entity possesses specialized vascular tissues (such as xylem and phloem) for internal transport of fluids and nutrients.
-
B.
hasXylem
Indicates that an entity possesses xylem tissue or structures for conducting water and nutrients.
-
C.
stemType
Indicates the type or form of a stem that an entity possesses or is characterized by.
-
D.
conductingSystem
Indicates a relationship where one entity serves as the medium or pathway that transmits or conducts a signal, force, or substance for another entity.
-
E.
photosyntheticTissue
Indicates that an entity has tissue capable of performing photosynthesis, converting light energy into chemical energy.
- 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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e94ef5cc81908c33adcedf5c5054 |
completed | March 27, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69c6e757fed4819091b0a096e3befc3a |
completed | March 27, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69c6e8fd9b848190b2b1beea5698422b |
completed | March 27, 2026, 8:30 p.m. |
Created at: March 27, 2026, 2:52 p.m.