Triple
T854249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assiut |
E18453
|
entity |
| Predicate | hasAgriculturalHinterland |
P14399
|
FINISHED |
| Object | Nile Valley farms around Assiut |
—
|
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: Nile Valley farms around Assiut | Statement: [Assiut, hasAgriculturalHinterland, Nile Valley farms around Assiut]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAgriculturalHinterland Context triple: [Assiut, hasAgriculturalHinterland, Nile Valley farms around Assiut]
-
A.
hasRuralArea
chosen
Indicates that an entity includes, is associated with, or contains a countryside or sparsely populated geographic area.
-
B.
agriculturalRole
Indicates a role or function that an entity has within agricultural activities, production, or systems.
-
C.
widelyCultivatedIn
Indicates that something is grown extensively or on a large scale within a particular place or region.
-
D.
cultivatedFor
Indicates that one entity is intentionally grown, raised, or developed for the benefit, use, or purpose of another entity.
-
E.
isRural
Indicates that something is located in, characteristic of, or associated with a countryside or non-urban area.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac389a44819093396a58d2afa700 |
completed | March 1, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69a4aa81ef348190b067f817574e9efe |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.