Triple
T5605260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Dark Sky Reserve |
E147217
|
entity |
| Predicate | coreAreaCharacteristic |
P65031
|
FINISHED |
| Object | very low levels of light pollution |
—
|
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: very low levels of light pollution | Statement: [International Dark Sky Reserve, coreAreaCharacteristic, very low levels of light pollution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreAreaCharacteristic Context triple: [International Dark Sky Reserve, coreAreaCharacteristic, very low levels of light pollution]
-
A.
coreAreaOf
Indicates that one entity is the central, primary, or most important area or domain of focus for another entity.
-
B.
serviceAreaCharacteristic
Indicates a relationship where a service area is associated with a specific attribute or feature that characterizes it.
-
C.
coreZoneArea
Indicates the area or spatial extent of a designated core zone within a larger region or system.
-
D.
neighborhoodCharacteristic
Indicates that a particular characteristic, feature, or quality is associated with or describes a given neighborhood.
-
E.
featuredArea
Indicates that an area or section is highlighted or given special prominence within a larger context or layout.
- 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020fa4b0881909fdbb8ea38eeb5e3 |
completed | March 22, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69c01b1890ec8190b9e6fa488792e4d4 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:39 p.m.