Triple
T9844072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cauchy matrix |
E239295
|
entity |
| Predicate | hasEntryFormula |
P90322
|
FINISHED |
| Object | a_{ij} = 1 / (x_i - y_j) |
—
|
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: a_{ij} = 1 / (x_i - y_j) | Statement: [Cauchy matrix, hasEntryFormula, a_{ij} = 1 / (x_i - y_j)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEntryFormula
Context triple: [Cauchy matrix, hasEntryFormula, a_{ij} = 1 / (x_i - y_j)]
-
A.
hasEntryOn
Indicates that one entity contains or includes an entry, record, or listing about another entity.
-
B.
hasNameInFormula
Indicates that an entity is referred to by a specific name or symbol within a formula or formal expression.
-
C.
hasEntryType
Indicates that something is associated with a specific category or type of entry within a system or dataset.
-
D.
hasFormulaOnTombstone
Indicates that a tombstone bears a specific written formula or inscription on it.
-
E.
hasReflectionFormula
Indicates that an entity is associated with a specific formula or expression used to compute its reflection (e.g., across a line, plane, or axis).
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb35dc29c819080203be5b904dc9d |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e57cac8190914bb5ae608a6e0e |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06ace53081909b5f81f382f6591e |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:33 p.m.