Triple
T4492929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | constructible universe |
E100621
|
entity |
| Predicate | containsAllOrdinals |
P23697
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [constructible universe, containsAllOrdinals, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsAllOrdinals Context triple: [constructible universe, containsAllOrdinals, true]
-
A.
areSupersetOf
chosen
Indicates that one set contains all elements of another set, possibly along with additional elements.
-
B.
hasOrdinalSeries
Indicates that one entity belongs to, or is positioned within, an ordered sequence or series relative to other entities.
-
C.
canonicalSetIncludes
Indicates that a canonical or standard set contains the referenced element as one of its members.
-
D.
isCollectionOf
Indicates that one entity is a group or aggregate composed of multiple instances or elements of another entity.
-
E.
hasDifferentEnumerationsIn
Indicates that the same concept or item is represented with differing sets of enumeration values across the specified contexts or systems.
- 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_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. |
Created at: March 20, 2026, 12:59 p.m.