Triple
T23009647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 59 Cygni |
E572871
|
entity |
| Predicate | binaryDetectionMethod |
P150636
|
FINISHED |
| Object | spectroscopic |
—
|
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: spectroscopic | Statement: [59 Cygni, binaryDetectionMethod, spectroscopic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: binaryDetectionMethod Context triple: [59 Cygni, binaryDetectionMethod, spectroscopic]
-
A.
mainDetector
Indicates that an entity serves as the primary or principal detector in relation to another entity or system.
-
B.
detectorType
Indicates the specific kind or category of detector associated with an entity or measurement.
-
C.
errorDetectionMethod
Indicates the method or technique used to detect errors in a process, system, or data.
-
D.
detectorConcept
Indicates that one entity functions as a detector whose conceptual design, type, or detection principle is characterized or specified by the other entity.
-
E.
detected
Indicates that an entity has observed, identified, or discovered the presence or occurrence of another entity or event.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18359f5548190b15a139eb09e30a0 |
completed | April 29, 2026, 4:04 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
| PDg | Predicate description generation | batch_69ef538b29c081908fa56ee35a1dcee7 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:51 p.m.