Triple
T15744132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyman series in hydrogen spectrum |
E381675
|
entity |
| Predicate | firstLineUpperLevelPrincipalQuantumNumber |
P120453
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Lyman series in hydrogen spectrum, firstLineUpperLevelPrincipalQuantumNumber, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLineUpperLevelPrincipalQuantumNumber Context triple: [Lyman series in hydrogen spectrum, firstLineUpperLevelPrincipalQuantumNumber, 2]
-
A.
firstTier
Indicates that one entity occupies the highest or primary level, rank, or priority relative to others in a hierarchical structure.
-
B.
firstInfiniteLevel
Indicates that the subject is at the earliest or lowest infinite level in a hierarchy, sequence, or graded structure.
-
C.
firstFactor
Indicates that one entity is the first factor (multiplicand) in a multiplication relationship with another entity.
-
D.
firstOrdinary
Indicates that the subject is the first entity to hold or occupy an ordinary (non-special, standard) position, role, or status in a given sequence or context.
-
E.
firstLineOpened
Indicates that the first line of something (e.g., a document, file, or text block) has been opened or accessed.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0052c6208819098165d61d378d13b |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e0b4d01c9c81909f6b611e8144c838 |
completed | April 16, 2026, 10:07 a.m. |
Created at: April 10, 2026, 4:46 a.m.