Triple
T23760840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wallis product |
E587242
|
entity |
| Predicate | termPattern |
P153861
|
FINISHED |
| Object | ratio of even to odd integers |
—
|
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: ratio of even to odd integers | Statement: [Wallis product, termPattern, ratio of even to odd integers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termPattern Context triple: [Wallis product, termPattern, ratio of even to odd integers]
-
A.
languagePattern
Indicates a recurring or structured way in which language is used, organized, or formed within a given context.
-
B.
slotPattern
Indicates a recurring structural arrangement or template of positions or "slots" that elements can occupy within a larger configuration or system.
-
C.
notationPattern
Indicates a recurring way in which something is symbolically represented or written, such as a consistent style or structure of notation used for an entity or concept.
-
D.
fieldPattern
Indicates a recurring or structured arrangement or configuration present within a field or area.
-
E.
termType
Indicates the classification or category of a term within a system, specifying what kind of term it is (e.g., type, role, or function) in relation to others.
- 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_69e2490b8ac48190a6b35f1d5500486b |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bdb289508190a4a1049762102794 |
completed | April 29, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f15ed138f88190a8ae555422978908 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 17, 2026, 7:14 p.m.