Triple
T8320954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Experiments on Plant Hybridization |
E194830
|
entity |
| Predicate | studiesTrait |
P81934
|
FINISHED |
| Object | seed shape |
—
|
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: seed shape | Statement: [Experiments on Plant Hybridization, studiesTrait, seed shape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studiesTrait Context triple: [Experiments on Plant Hybridization, studiesTrait, seed shape]
-
A.
studiesConcept
Indicates that an entity engages in learning, examining, or researching a particular concept.
-
B.
studiesPeople
Indicates that one person systematically examines, researches, or learns about other people.
-
C.
domesticationTrait
Indicates that an entity possesses a characteristic or feature that contributes to or results from its domestication by another species.
-
D.
contributesTraitInCrossbreeding
Indicates that a particular parent organism provides or passes on a specific trait to the offspring resulting from a crossbreeding event.
-
E.
widelyStudiedIn
Indicates that something has been extensively researched, analyzed, or examined within a particular field, domain, or context.
- 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_69ca82e7a8a88190a32bb5cc0feb012d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f67aee88190b245f8d6e57a40b2 |
completed | March 31, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69cb70bf689c8190a9d9b6b872abf53d |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb77690720819099de1e22b84a9563 |
completed | March 31, 2026, 7:27 a.m. |
Created at: March 30, 2026, 5:55 p.m.