Triple
T32374673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goychay District |
E827245
|
entity |
| Predicate | agriculturalBrand |
P158239
|
FINISHED |
| Object | Goychay pomegranates |
—
|
NE NERFINISHED |
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: Goychay pomegranates | Statement: [Goychay District, agriculturalBrand, Goychay pomegranates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agriculturalBrand Context triple: [Goychay District, agriculturalBrand, Goychay pomegranates]
-
A.
hasAgriculturalBrand
chosen
Indicates a relationship where an entity is associated with or identified by a specific agricultural brand.
-
B.
agricultureDivisionBrand
Indicates that a brand operates as part of, or is associated with, an agriculture-focused division within a larger organization.
-
C.
agriculturalProduce
Indicates that one entity is an agricultural product (such as crops or livestock-derived goods) produced by or associated with another entity.
-
D.
agriculturalFocus
Indicates that an entity is primarily concerned with, oriented toward, or specializing in agriculture or farming-related activities.
-
E.
hasAgriculturalCharacter
Indicates that something possesses qualities, features, or uses typical of agriculture or farming activities.
- 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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c12eb9b88190b6d1a371081717b0 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:50 a.m.