Triple
T19132621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra Nevada Observatory |
E468351
|
entity |
| Predicate | hasObservationCondition |
P134529
|
FINISHED |
| Object | many clear nights per year |
—
|
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: many clear nights per year | Statement: [Sierra Nevada Observatory, hasObservationCondition, many clear nights per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasObservationCondition Context triple: [Sierra Nevada Observatory, hasObservationCondition, many clear nights per year]
-
A.
hasObservation
Indicates that an entity records, contains, or is associated with a specific observation or measured instance.
-
B.
hasObservationRequirement
Indicates that one entity imposes or specifies an observation-related condition or requirement that must be satisfied by another entity or process.
-
C.
hasObservationView
Indicates that an entity provides or is associated with a particular way or perspective from which observations or measurements are made.
-
D.
hasObservationFeatures
Indicates that an observation is associated with specific measurable or descriptive features that characterize it.
-
E.
hasObservationStructure
Indicates that an entity is associated with, or organized according to, a specific structure or schema used for recording or representing observations.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3ea82f08190811ef35fbae744d1 |
completed | April 20, 2026, 8:29 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b085288190b974d649e12e0844 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:05 p.m.