Triple
T36380521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gomortegaceae |
E896031
|
entity |
| Predicate | fruitTypeOfBestKnownSpecies |
P186014
|
FINISHED |
| Object | drupaceous fruit |
—
|
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: drupaceous fruit | Statement: [Gomortegaceae, fruitTypeOfBestKnownSpecies, drupaceous fruit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fruitTypeOfBestKnownSpecies Context triple: [Gomortegaceae, fruitTypeOfBestKnownSpecies, drupaceous fruit]
-
A.
fruitCommonName
Indicates the commonly used everyday name by which a fruit is known.
-
B.
baseFruit
Indicates that one entity serves as the primary or foundational fruit associated with another entity.
-
C.
fruitAdheresTo
Indicates that a fruit is physically attached or sticks to another surface or object.
-
D.
nationalFruit
Indicates that a particular fruit is officially designated as the national fruit of a country or region.
-
E.
fruitEdibleRaw
Indicates that a fruit can be safely and customarily eaten in its uncooked, natural state.
- 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_69f76e51d358819092bbc5f119f49476 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: May 3, 2026, 4:10 p.m.