Triple
T23527583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denebola |
E576474
|
entity |
| Predicate | debrisDiskDiscoveryMethod |
P153113
|
FINISHED |
| Object | infrared observations |
—
|
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: infrared observations | Statement: [Denebola, debrisDiskDiscoveryMethod, infrared observations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debrisDiskDiscoveryMethod Context triple: [Denebola, debrisDiskDiscoveryMethod, infrared observations]
-
A.
discoveryOfDebrisDisk
Indicates that an entity has discovered or identified the presence of a debris disk around another astronomical object.
-
B.
debrisDiskType
Indicates the specific classification or subtype of a debris disk associated with an astronomical object.
-
C.
hasDebrisDisk
Indicates that an astronomical object is surrounded by a disk of dust and debris, typically leftover from planet formation or collisions.
-
D.
planetDetectionMethod
Indicates the method or technique by which a planet was discovered or detected.
-
E.
debrisDiskRadius_AU
Indicates the radius, measured in astronomical units, of a debris disk surrounding an astronomical object.
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac74be1881909161b94aa611188a |
completed | April 29, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f12760784c8190aaeff002ef31febe |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 17, 2026, 6:09 p.m.