Triple
T13397025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrysolepis |
E319723
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Castanea |
E319721
|
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: Castanea | Statement: [Chrysolepis, relatedTo, Castanea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castanea Context triple: [Chrysolepis, relatedTo, Castanea]
-
A.
Castanea
chosen
Castanea is a genus of deciduous trees and shrubs commonly known as chestnuts, valued for their edible nuts and durable timber.
-
B.
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.
-
C.
Juglans regia
Juglans regia, commonly known as the English or Persian walnut, is a widely cultivated deciduous tree valued for its edible nuts and high-quality timber.
-
D.
Juglans nigra
Juglans nigra, commonly known as black walnut, is a large North American hardwood tree valued for its dark, high-quality timber and edible nuts.
-
E.
Nyssa
Nyssa is a companion of the Fifth Doctor in the long-running British science fiction television series Doctor Who.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d9e7348190844e11dd6cbd13b0 |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f754734db081909f262fa2325b7e6d |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:34 p.m.