Triple
T9085421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loa River |
E217739
|
entity |
| Predicate | formsArc |
P71287
|
FINISHED |
| Object | great arc through northern Chile |
—
|
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: great arc through northern Chile | Statement: [Loa River, formsArc, great arc through northern Chile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsArc Context triple: [Loa River, formsArc, great arc through northern Chile]
-
A.
formsArcOf
chosen
Indicates that one entity curves around or spans between points so as to create an arc in relation to another entity.
-
B.
formsAround
Indicates that one entity develops or shapes itself so as to encircle, surround, or be organized around another entity.
-
C.
formsGreatCircleWith
Indicates that two paths or segments together lie on the same great circle, forming a continuous great-circle route on a sphere.
-
D.
artForm
Indicates the type or category of artistic expression that characterizes or defines something (e.g., painting, music, dance).
-
E.
formsFeature
Indicates that one entity constitutes or creates a characteristic, component, or distinguishing element of another entity.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc960d0b008190b0e9e61fac45101d |
completed | April 1, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69cc65fa79bc81908b46f05c8bba920f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:13 p.m.