Triple
T8062925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delamar Mountains |
E188167
|
entity |
| Predicate | remotenessLevel |
P3560
|
FINISHED |
| Object | sparsely populated area |
—
|
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: sparsely populated area | Statement: [Delamar Mountains, remotenessLevel, sparsely populated area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remotenessLevel Context triple: [Delamar Mountains, remotenessLevel, sparsely populated area]
-
A.
remoteness
chosen
Indicates the degree of physical or conceptual distance or isolation between entities.
-
B.
featuresRegionalProximity
Indicates that one entity is located near or in close geographic proximity to a particular region or another entity.
-
C.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
D.
isInRuralAreaOf
Indicates that one entity is located within the rural area or countryside region associated with another entity.
-
E.
hasUrbanProximity
Indicates that one entity is located near or within easy access to an urban area associated with 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fce95f08190b803956a20082e95 |
completed | March 31, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69cb049cd51c8190bb3b0f503e42fa8d |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:26 p.m.