Triple
T14030461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucas sequences |
E337572
|
entity |
| Predicate | secondKindInitialConditions |
P112555
|
FINISHED |
| Object | V_0 = 2, V_1 = P |
—
|
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: V_0 = 2, V_1 = P | Statement: [Lucas sequences, secondKindInitialConditions, V_0 = 2, V_1 = P]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondKindInitialConditions Context triple: [Lucas sequences, secondKindInitialConditions, V_0 = 2, V_1 = P]
-
A.
secondStageType
Indicates the specific kind or category of a process, object, or event that occurs as the second stage in a multi-stage sequence.
-
B.
secondElement
Indicates that one entity is the second element in an ordered pair, sequence, or collection relative to another entity.
-
C.
secondaryState
Indicates that an entity is in a subordinate or less primary condition, status, or mode relative to its main or primary state.
-
D.
secondStage
Indicates that something functions as the subsequent or follow-up stage in a multi-stage process or sequence.
-
E.
secondDefinition
Indicates that one entity serves as an alternative or secondary definition or meaning for another entity.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa9f8248190930954d609dee5f1 |
completed | April 14, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:20 p.m.