Triple
T21061787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Furst–Saxe–Sipser lower bounds |
E518865
|
entity |
| Predicate | depthRestriction |
P142697
|
FINISHED |
| Object | constant depth |
—
|
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: constant depth | Statement: [Furst–Saxe–Sipser lower bounds, depthRestriction, constant depth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depthRestriction Context triple: [Furst–Saxe–Sipser lower bounds, depthRestriction, constant depth]
-
A.
dimensionRestriction
Indicates a constraint or limit imposed on the size, extent, or number of dimensions associated with an entity or relationship.
-
B.
depthOrigin
Indicates the reference point or source location from which the depth of an object or region is measured.
-
C.
degreeBound
Indicates that one entity has a degree or qualification that is formally associated with, limited to, or constrained by another entity (such as an institution, field, or level).
-
D.
rangeRestrictedTo
Indicates that the possible values or targets of a relation are constrained to lie within a specified set or type.
-
E.
heightRestriction
Indicates that there is a limit or constraint on how tall an entity is allowed or required to be in a given context.
- 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb064a48190b892b78e27e8d0fa |
completed | April 21, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf9d71881908cd85dfc37db93ca |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:38 p.m.