Triple
T2699366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pangue Observatory |
E59192
|
entity |
| Predicate | hasViewingConditions |
P42052
|
FINISHED |
| Object | low 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: low light pollution | Statement: [Pangue Observatory, hasViewingConditions, low light pollution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasViewingConditions Context triple: [Pangue Observatory, hasViewingConditions, low light pollution]
-
A.
canBeSeenWith
Indicates that two entities are observable together in the same context, setting, or time.
-
B.
hasViewingPlatform
Indicates that an entity includes or is equipped with a designated platform or area intended for viewing or observing something.
-
C.
hasViewingSide
Indicates that one entity serves as the side or surface of another entity that is intended to be viewed or observed.
-
D.
visibilityRequirement
Indicates that one entity must be visible or perceivable under specified conditions for another entity, action, or rule to apply.
-
E.
hasViewingGallery
Indicates that one entity includes or provides a designated area from which another entity can be observed or viewed.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda339cf48190b9ae6b99137f005e |
completed | March 7, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69abd82062988190b4292f242ad70b2c |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd9ceec708190aa162399023b2273 |
completed | March 7, 2026, 7:54 a.m. |
Created at: March 6, 2026, 9:55 p.m.