Triple
T26966581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Post correspondence problem |
E679187
|
entity |
| Predicate | alphabetSizeCondition |
P161736
|
FINISHED |
| Object | undecidable for alphabet of size at least 2 |
—
|
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: undecidable for alphabet of size at least 2 | Statement: [Post correspondence problem, alphabetSizeCondition, undecidable for alphabet of size at least 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alphabetSizeCondition Context triple: [Post correspondence problem, alphabetSizeCondition, undecidable for alphabet of size at least 2]
-
A.
alphabetRequirement
Indicates that a specific alphabet or set of characters is required to be used in or supported by the related entity or action.
-
B.
alphabetSizeLatin
Indicates the number of distinct letters in the Latin alphabet used in a given context or system.
-
C.
hasLetterCount
Indicates that an entity is associated with a specific number representing how many letters it contains.
-
D.
hasNumberOfLetters
Indicates a relationship where an entity is associated with the count of letters it contains.
-
E.
usesAlphabet
Indicates that one entity employs or is written using the alphabet or writing system associated with another entity.
- 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621210b788190ab9e910cd635f366 |
completed | May 2, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 27, 2026, 6:36 a.m.