Triple
T38412975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tateyama, Chiba |
E901526
|
entity |
| Predicate | hasFlowerProduction |
P68196
|
FINISHED |
| Object | ornamental flowers |
—
|
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: ornamental flowers | Statement: [Tateyama, Chiba, hasFlowerProduction, ornamental flowers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlowerProduction Context triple: [Tateyama, Chiba, hasFlowerProduction, ornamental flowers]
-
A.
isFlowering
Indicates that an entity is currently undergoing or capable of undergoing the process of producing flowers.
-
B.
hasAgriculturalProduction
Indicates that an entity engages in or is characterized by the production of agricultural goods such as crops or livestock.
-
C.
hasFloralFeature
chosen
Indicates that an entity possesses a specific floral characteristic, structure, or attribute.
-
D.
hasFlowerColor
Indicates that an entity (typically a plant or flower) possesses a specific flower color.
-
E.
isSelfPollinating
Indicates that an organism or plant can fertilize itself without requiring pollen from another individual.
- 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_69f76e61e79c81908b787d83b46ab92b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: May 3, 2026, 4:31 p.m.