Triple
T21894613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coastal Cordillera |
E540643
|
entity |
| Predicate | relativeWidth |
P8238
|
FINISHED |
| Object | narrow |
—
|
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: narrow | Statement: [Coastal Cordillera, relativeWidth, narrow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeWidth Context triple: [Coastal Cordillera, relativeWidth, narrow]
-
A.
relativeLength
Indicates a comparative relationship between entities based on how long they are relative to one another.
-
B.
proportionWidth
Indicates that one entity’s width is defined as a proportional (scaled) value relative to another reference width.
-
C.
widthDependsOn
Indicates that the width of one entity is determined or constrained by the width or properties of another entity.
-
D.
minimumWidth
Indicates that there is a specified smallest allowable or required width for something in the relationship.
-
E.
hasRelativeSize
chosen
Indicates that one entity’s size is being compared to another entity’s size, expressing a relative rather than absolute magnitude.
- 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc539708190a42f202e7404a213 |
completed | April 28, 2026, 8:59 p.m. |
| PD | Predicate disambiguation | batch_69e6be9a65888190a66598d62d20366c |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:07 p.m.