Triple
T27431818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pamplonita River |
E690661
|
entity |
| Predicate | hasLowerCourseNear |
P180131
|
FINISHED |
| Object | Venezuelan border |
—
|
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: Venezuelan border | Statement: [Pamplonita River, hasLowerCourseNear, Venezuelan border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowerCourseNear Context triple: [Pamplonita River, hasLowerCourseNear, Venezuelan border]
-
A.
hasLowerCourseRegion
Indicates that a geographic feature, typically a river, has a specified region associated with the lower part of its course.
-
B.
navigableInLowerCourse
Indicates that a watercourse is suitable for navigation specifically in its lower (downstream) section.
-
C.
hasRiverBelow
Indicates that one entity is located above another such that a river lies physically below it.
-
D.
hasLowerLake
Indicates that one lake is situated at a lower elevation or downstream position relative to another lake.
-
E.
hasLowerCourseName
Indicates that one course’s name is lexicographically or alphabetically lower (comes before) another course’s name.
- 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_69ef52003fb48190b0f1295246182a86 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
| PDg | Predicate description generation | batch_69f73221eef88190bd8905e6e9f5a586 |
completed | May 3, 2026, 11:31 a.m. |
Created at: April 27, 2026, 12:42 p.m.