Triple
T4492925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | constructible universe |
E100621
|
entity |
| Predicate | stageSuccessorDefinition |
P56886
|
FINISHED |
| Object | L_{alpha+1} = Def(L_alpha) |
—
|
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: L_{alpha+1} = Def(L_alpha) | Statement: [constructible universe, stageSuccessorDefinition, L_{alpha+1} = Def(L_alpha)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stageSuccessorDefinition
Context triple: [constructible universe, stageSuccessorDefinition, L_{alpha+1} = Def(L_alpha)]
-
A.
successorProcess
Indicates that one process directly follows another in a defined sequence or workflow.
-
B.
successorStation
Indicates that one station directly follows another in a sequence, such as along a transit line or route.
-
C.
successorState
Indicates that one state directly follows another as the immediate next state in a sequence or process.
-
D.
eventualSuccessor
Indicates that one entity will become the successor of another at some later point in time, rather than immediately.
-
E.
successorConfiguration
Indicates that one configuration directly follows another as its immediate next state in a sequence or process.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5570ba0881908f5fb4f8d0730e64 |
completed | March 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69bd5213e3d0819094b026989e686f01 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd556b93cc8190ab817d2817109a0b |
completed | March 20, 2026, 2:10 p.m. |
Created at: March 20, 2026, 12:59 p.m.