Triple
T25371882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFA |
E632951
|
entity |
| Predicate | startStateSymbol |
P82723
|
FINISHED |
| Object | q0 |
—
|
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: q0 | Statement: [NFA, startStateSymbol, q0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startStateSymbol Context triple: [NFA, startStateSymbol, q0]
-
A.
acceptingStatesSymbol
Indicates that a given symbol is associated with one or more accepting (final) states in an automaton or state-transition system.
-
B.
startRule
Indicates that a particular rule is the initial or entry rule from which a process, system, or evaluation begins.
-
C.
startOfRule
Indicates that one element marks the beginning boundary or initial segment of a specified rule.
-
D.
standardStartRule
Indicates that something begins or is initiated according to a defined standard or default rule.
-
E.
symbolForState
chosen
Indicates that one entity serves as the symbolic representation (such as an icon, emblem, or notation) used to denote or stand for a particular state of another entity.
- 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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 21, 2026, 1:38 p.m.