Triple
T31636145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | causal dynamical triangulations |
E807317
|
entity |
| Predicate | seeksToExplain |
P5130
|
FINISHED |
| Object | emergence of classical general relativity |
—
|
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: emergence of classical general relativity | Statement: [causal dynamical triangulations, seeksToExplain, emergence of classical general relativity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seeksToExplain Context triple: [causal dynamical triangulations, seeksToExplain, emergence of classical general relativity]
-
A.
aimsToExplain
chosen
Indicates that one entity intends to clarify, make understandable, or provide an explanation about another entity, concept, or situation.
-
B.
usedToExplain
Indicates that one entity serves as an explanation or clarification for another entity.
-
C.
aimsToUnderstand
Indicates an intention or effort by one entity to gain knowledge, insight, or comprehension about another entity or subject.
-
D.
claimsToExplain
Indicates that one entity asserts it can provide a clarification, account, or understanding of another entity or phenomenon.
-
E.
laterExplained
Indicates that an earlier event, statement, or situation is clarified or made understandable by information provided at a subsequent time.
- 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_69f348d892948190915f8facacb9568c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a757c6e081908e37631e5d8d246b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:47 p.m.