Triple
T10825816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | reStructuredText |
E255494
|
entity |
| Predicate | typicalSectionUnderlineChars |
P95936
|
FINISHED |
| Object | = - ` : ' " ~ ^ _ * + # < > |
—
|
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: = - ` : ' " ~ ^ _ * + # < > | Statement: [reStructuredText, typicalSectionUnderlineChars, = - ` : ' " ~ ^ _ * + # < >]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSectionUnderlineChars Context triple: [reStructuredText, typicalSectionUnderlineChars, = - ` : ' " ~ ^ _ * + # < >]
-
A.
underlines
Indicates that one entity draws or applies a line beneath another entity, typically to emphasize or highlight it.
-
B.
typicalSection
Indicates that one section is a standard, representative, or commonly occurring instance within a broader set or structure of sections.
-
C.
typicalSymbol
Indicates that something serves as a characteristic or commonly recognized symbol representing something else.
-
D.
usesLineCharacteristic
Indicates that one entity employs or is based on a specific characteristic or property of a line.
-
E.
typicalSegmentType
Indicates that something is classified as belonging to a usual or characteristic type of segment within a broader structure or sequence.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734d0389c819090a892693c4046ed |
completed | April 9, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69d70d1bf3648190b36fa96ea018e0dc |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101c96708190808fef73199e8482 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:19 p.m.