Triple
T27431816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pamplonita River |
E690661
|
entity |
| Predicate | hasUpperCourseIn |
P162404
|
FINISHED |
| Object | Pamplona municipality |
—
|
NE NERFINISHED |
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: Pamplona municipality | Statement: [Pamplonita River, hasUpperCourseIn, Pamplona municipality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUpperCourseIn Context triple: [Pamplonita River, hasUpperCourseIn, Pamplona municipality]
-
A.
hasUpperCourseName
Indicates that an entity (such as a course instance or section) is associated with the name of the higher-level or parent course of which it is a part.
-
B.
upperCourseOf
Indicates that one watercourse represents the upstream or higher-elevation segment of another watercourse within the same river system.
-
C.
hasUpperSchool
Indicates that an educational institution includes or is associated with an upper-level school (typically serving older or advanced students).
-
D.
hasPrimaryCourse
Indicates that an entity is associated with its main or principal course in a given context (such as a meal, curriculum, or sequence of offerings).
-
E.
upperCourseName
Indicates that one course’s name is the uppercase version of 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_69f62d5ae2f481909ab113c257e75f9c |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f624c006788190a2f4d5015c96463f |
completed | May 2, 2026, 4:22 p.m. |
Created at: April 27, 2026, 12:42 p.m.