Triple
T31898359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WKB approximation |
E814350
|
entity |
| Predicate | failsNear |
P172711
|
FINISHED |
| Object | classical turning points |
—
|
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: classical turning points | Statement: [WKB approximation, failsNear, classical turning points]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: failsNear Context triple: [WKB approximation, failsNear, classical turning points]
-
A.
failsTo
Indicates that an expected action, process, or condition does not successfully occur or is not fulfilled.
-
B.
failedOn
Indicates that an attempted action or process did not succeed when applied to a specific target, condition, or step.
-
C.
failed
Indicates that an attempted action or process did not succeed in achieving its intended outcome.
-
D.
fallStatus
Indicates the condition or outcome of a fall event affecting an entity.
-
E.
failureReturn
Indicates that an operation or process results in an unsuccessful outcome and returns a corresponding failure value or status.
- 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_69f348f04d7881909537fc9e7cbc670e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b166b4788190997dc7d7b865a428 |
completed | May 3, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6af7d92008190aead47eaae8cc091 |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 30, 2026, 11:59 p.m.