Triple
T35945976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geranium |
E1039585
|
entity |
| Predicate | fruitCommonNameOrigin |
P185278
|
FINISHED |
| Object | crane-like beak |
—
|
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: crane-like beak | Statement: [Geranium, fruitCommonNameOrigin, crane-like beak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fruitCommonNameOrigin Context triple: [Geranium, fruitCommonNameOrigin, crane-like beak]
-
A.
fruitCommonName
Indicates the commonly used everyday name by which a fruit is known.
-
B.
speciesOrigin
Indicates the place, environment, or source from which a species originally arose or evolved.
-
C.
cultivarOrigin
Indicates that a particular plant cultivar was originally developed, bred, or derived from a specified source location, population, or lineage.
-
D.
ingredientOrigin
Indicates that an ingredient comes from, is sourced in, or originates from a particular place or source.
-
E.
nationalFruit
Indicates that a particular fruit is officially designated as the national fruit of a country or region.
- 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_69f76e24bbd0819096b837d35371639a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7bbf812cc8190a16917c5daaff2df |
completed | May 3, 2026, 9:19 p.m. |
Created at: May 3, 2026, 4:07 p.m.