Triple
T21561830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Year of the Trees |
E532054
|
entity |
| Predicate | linkedToLaw |
P80384
|
FINISHED |
| Object | tithing of fruit trees |
—
|
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: tithing of fruit trees | Statement: [New Year of the Trees, linkedToLaw, tithing of fruit trees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToLaw Context triple: [New Year of the Trees, linkedToLaw, tithing of fruit trees]
-
A.
linkedLaw
chosen
Indicates that there is a connection or reference between an entity and a specific law or legal provision.
-
B.
relatedLawDiscoveredBy
Indicates that a particular law is identified as having been discovered or formulated by a specific agent (such as a person or organization).
-
C.
relatedLegalConcept
Indicates that one legal concept is connected or associated with another through a relevant legal relationship or context.
-
D.
legalCaseRelatedTo
Indicates that there is a relevant connection or association between a legal case and another entity, such as a person, organization, event, or legal matter.
-
E.
legalMatters
Indicates that one entity is involved with, concerned about, or responsible for legal issues, processes, or obligations related to another entity or context.
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e3e2348190b5c3b66cdc871e6e |
completed | April 27, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69e6320c8c2c81908bf031447d66a052 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:29 p.m.