Triple
T26061471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Jawf basin |
E657272
|
entity |
| Predicate | agriculturalProductsHistorically |
P95897
|
FINISHED |
| Object | fruits |
—
|
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: fruits | Statement: [al-Jawf basin, agriculturalProductsHistorically, fruits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agriculturalProductsHistorically Context triple: [al-Jawf basin, agriculturalProductsHistorically, fruits]
-
A.
historicalCultivation
chosen
Indicates that an entity has been traditionally grown, farmed, or otherwise cultivated in relation to another entity over a significant historical period.
-
B.
hasAgriculturalTraditions
Indicates that an entity maintains established customs, practices, or ways of life related to agriculture and farming.
-
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.
traditionalAgriculturalProduct
Indicates that something is recognized as an agricultural product produced using long-established, customary methods and practices.
-
E.
hasAgriculturalProduction
Indicates that an entity engages in or is characterized by the production of agricultural goods such as crops or livestock.
- 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_69ee5bbd788481909e22bd7153d0c037 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f61f12b0f08190bc4a16907941864c |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 26, 2026, 7:18 p.m.