Triple
T9809649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herbrand universe |
E238235
|
entity |
| Predicate | ifLanguageHasNoConstants |
P90131
|
FINISHED |
| Object | often a new constant is added to define a non-empty Herbrand universe |
—
|
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: often a new constant is added to define a non-empty Herbrand universe | Statement: [Herbrand universe, ifLanguageHasNoConstants, often a new constant is added to define a non-empty Herbrand universe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ifLanguageHasNoConstants Context triple: [Herbrand universe, ifLanguageHasNoConstants, often a new constant is added to define a non-empty Herbrand universe]
-
A.
hasVariantConstant
Indicates that one entity is a specific constant-valued variant or fixed-value form of another entity.
-
B.
usesConstant
Indicates that one entity makes use of a specific constant value defined or provided by another entity.
-
C.
usesLanguageRuntime
Indicates that an entity operates using, depends on, or is executed within a specific language runtime environment.
-
D.
includesConstant
Indicates that one entity contains or explicitly references a specific constant value within its definition or structure.
-
E.
hasLanguageType
Indicates that an entity is associated with a particular type or category of language (e.g., spoken, written, programming, sign).
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb220310c8190a16ca0b746f0ef7a |
completed | April 2, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69cd03dd2da881909052fbf29736a773 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:29 p.m.