Triple
T596159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauna Loa |
E17386
|
entity |
| Predicate | observatoryTypeAtSummit |
P7248
|
FINISHED |
| Object | atmospheric monitoring station |
—
|
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: atmospheric monitoring station | Statement: [Mauna Loa, observatoryTypeAtSummit, atmospheric monitoring station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observatoryTypeAtSummit Context triple: [Mauna Loa, observatoryTypeAtSummit, atmospheric monitoring station]
-
A.
observatoryType
chosen
Indicates the specific kind or category of observatory associated with an entity.
-
B.
observatoryComplex
Indicates a relationship where multiple observatory-related facilities or structures are grouped together as parts of a single, integrated observatory complex.
-
C.
observatory
Indicates a relationship where a facility or structure is used to observe, monitor, or study objects or phenomena, typically in astronomy or atmospheric science.
-
D.
hasSummitFeature
Indicates that a summit (or peak) possesses a particular characteristic, attribute, or notable feature.
-
E.
summitCraterDiameter
Indicates the diameter of the crater located at the summit of a volcanic or mountainous feature.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bd3e5e08190be95cb2009aad42d |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494ceeb7881909a91ed1a35d5bf0a |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.