Triple
T15244863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIP = NEXP |
E364352
|
entity |
| Predicate | impliesContainment |
P96160
|
FINISHED |
| Object | MIP ⊆ NEXP |
—
|
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: MIP ⊆ NEXP | Statement: [MIP = NEXP, impliesContainment, MIP ⊆ NEXP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impliesContainment Context triple: [MIP = NEXP, impliesContainment, MIP ⊆ NEXP]
-
A.
hasContainment
Indicates that one entity spatially or logically encloses, includes, or holds another within its bounds.
-
B.
hasContainmentType
Indicates the specific way in which one entity is contained within or enclosed by another.
-
C.
alsoContains
Indicates that something includes, in addition to its primary contents, another specified element or component.
-
D.
impliesAttribute
chosen
Indicates that the presence or occurrence of one property, condition, or relation logically entails the existence or truth of another attribute.
-
E.
impliesLineage
Indicates that one entity is inferred to be ancestrally or genealogically derived from another.
- F. None of above.
Provenance (3 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f306f08190be448b215d6c9b6c |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:13 a.m.