Triple
T7259804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mamoré River |
E159618
|
entity |
| Predicate | hasNavigationSection |
P75987
|
FINISHED |
| Object | lower Mamoré |
—
|
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: lower Mamoré | Statement: [Mamoré River, hasNavigationSection, lower Mamoré]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNavigationSection Context triple: [Mamoré River, hasNavigationSection, lower Mamoré]
-
A.
hasNavigationRoute
Indicates that one entity provides or defines a navigation path or route leading to or through another entity.
-
B.
hasNavigationCharacteristic
Indicates that an entity possesses a specific property, feature, or quality related to navigation or navigational behavior.
-
C.
hasNavigationStatus
Indicates the current state or condition of an entity’s navigation, such as whether and how it is actively navigating.
-
D.
hasNavigationAccess
Indicates that one entity is permitted to access or use the navigation capabilities or navigation-related resources of another entity.
-
E.
hasNavigationUse
Indicates that something is used for navigation or serves a navigational function in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb088dac8190b353f6ea3d686025 |
completed | March 27, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69c6e76876608190ac4652bc7153302e |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6eb06acd881908a1735fbbbd5756f |
completed | March 27, 2026, 8:39 p.m. |
Created at: March 27, 2026, 2:57 p.m.