Triple
T1102421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salar de Uyuni |
E25408
|
entity |
| Predicate | skyObservation |
P349
|
FINISHED |
| Object | excellent stargazing conditions |
—
|
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: excellent stargazing conditions | Statement: [Salar de Uyuni, skyObservation, excellent stargazing conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skyObservation Context triple: [Salar de Uyuni, skyObservation, excellent stargazing conditions]
-
A.
skyQuality
chosen
Indicates the measured level or condition of the sky, typically in terms of clarity, brightness, or suitability for observation.
-
B.
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.
-
C.
telescopeLocation
Indicates the physical place or site where a telescope is situated or installed.
-
D.
observationalChallenge
Indicates a situation where accurately perceiving, measuring, or interpreting something is difficult due to limitations or obstacles in observation.
-
E.
observedAt
Indicates that an entity was recorded or noticed at a specific time or place.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9c21c2c8190a34d91a7afed23a9 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b7472c848190b0643872f67084a2 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:43 p.m.