Triple
T20471108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermite constant |
E502193
|
entity |
| Predicate | γ_24 |
P140215
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Hermite constant, γ_24, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: γ_24 Context triple: [Hermite constant, γ_24, 4]
-
A.
H-gammaWavelength
Indicates the specific wavelength at which hydrogen emits or is observed in the gamma spectral line.
-
B.
nominalGamma
Indicates that something functions as a nominal element (e.g., noun-like role) within a grammatical or logical structure.
-
C.
B_4
Indicates a specific type of relationship or interaction labeled as "B_4" between entities, whose exact nature depends on the domain-specific definition of this predicate.
-
D.
GSSP
Indicates a general social or situational participation relationship, where an entity is involved or takes part in a shared social, situational, or contextual setting with others.
-
E.
targetSystemGamma
Indicates a relationship where an entity is associated with, directed toward, or operates within a specific system identified as “Gamma.”
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e699608d7c8190910217817e789915 |
completed | April 20, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69e57679eb40819086142df3e39c928e |
completed | April 20, 2026, 12:42 a.m. |
| PDg | Predicate description generation | batch_69e58d766b408190a1d3698145fb6d30 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:33 a.m.