Triple
T14476164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amur linden |
E358978
|
entity |
| Predicate | genus |
P87
|
FINISHED |
| Object | Tilia |
E431950
|
NE 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: Tilia | Statement: [Amur linden, genus, Tilia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tilia Context triple: [Amur linden, genus, Tilia]
-
A.
Tilia
chosen
Tilia is a genus of deciduous trees commonly known as lindens or lime trees, valued for their fragrant flowers, heart-shaped leaves, and use in ornamental planting and herbal remedies.
-
B.
Ulmus
Ulmus is a genus of deciduous trees commonly known as elms, widely distributed across the Northern Hemisphere and valued for their distinctive vase-shaped form and use in landscaping and timber.
-
C.
Zelkova
Zelkova is a small genus of deciduous trees in the elm family, valued as ornamentals and for bonsai, and native to parts of Europe and Asia.
-
D.
Ahorn
Ahorn is a municipality in the Bavarian region of Germany, known for its rural character and proximity to the city of Coburg.
-
E.
Fagus
Fagus is a genus of deciduous trees commonly known as beeches, native to temperate regions of the Northern Hemisphere and valued for their hardwood and ornamental use.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91fc1fc48190842b09aa03ba79f8 |
completed | April 14, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64a0553081909fd88d8f39ed1a01 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:20 a.m.