Triple
T3976318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jubba River |
E85651
|
entity |
| Predicate | valleyCharacteristic |
P5378
|
FINISHED |
| Object | fertile |
—
|
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: fertile | Statement: [Jubba River, valleyCharacteristic, fertile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valleyCharacteristic Context triple: [Jubba River, valleyCharacteristic, fertile]
-
A.
valleyType
Indicates the specific kind or classification of a valley that characterizes the relationship between the entities.
-
B.
valleyDesignation
Indicates that an entity is formally designated or classified as a valley in relation to a specified geographic or administrative context.
-
C.
valleyUsedFor
Indicates that a valley serves a particular function, purpose, or activity for something or someone.
-
D.
hasValley
Indicates that one entity contains, features, or is characterized by the presence of a valley associated with the other entity.
-
E.
terrainFeature
chosen
Indicates a relationship where one entity is a natural or constructed landform or surface characteristic associated with a given location or 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaca33e4819091957c7915857a42 |
completed | March 9, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69aef8f252b081909749d40440d372b2 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:33 p.m.