Triple
T5958702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horsehead Nebula |
E132579
|
entity |
| Predicate | observationalDifficulty |
P2406
|
FINISHED |
| Object | requires dark skies and imaging |
—
|
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: requires dark skies and imaging | Statement: [Horsehead Nebula, observationalDifficulty, requires dark skies and imaging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observationalDifficulty Context triple: [Horsehead Nebula, observationalDifficulty, requires dark skies and imaging]
-
A.
observingDifficultyRange
Indicates the range or spectrum of difficulty levels associated with observing or detecting something.
-
B.
observationalChallenge
Indicates a situation where accurately perceiving, measuring, or interpreting something is difficult due to limitations or obstacles in observation.
-
C.
observationalCategory
Indicates that one entity classifies or groups another entity based on the type or category of observation it represents.
-
D.
difficulty
chosen
Indicates the level of challenge, complexity, or effort required to perform an action, solve a problem, or achieve a particular outcome.
-
E.
visibleToNakedEye
Indicates that something can be perceived directly without the aid of optical instruments such as telescopes, microscopes, or binoculars.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03fb7f8a88190a8bd45208bda4a03 |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0335a635881909c58c1ef0f97f1e8 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:02 p.m.