Triple
T189000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basic Latin |
E3675
|
entity |
| Predicate | lastPrintableCharacter |
P5715
|
FINISHED |
| Object | U+007E TILDE |
—
|
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: U+007E TILDE | Statement: [Basic Latin, lastPrintableCharacter, U+007E TILDE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastPrintableCharacter Context triple: [Basic Latin, lastPrintableCharacter, U+007E TILDE]
-
A.
lineTerminusDirection
Indicates the directional orientation or bearing at which a line segment or route terminates at its endpoint.
-
B.
trimPositionIn88Line
Indicates the position or location where trimming occurs within an 88-character (or 88-unit) line.
-
C.
lastHolder
Indicates that the subject is the most recent entity to have possessed, owned, or held the object.
-
D.
locationInDocument
Indicates that one entity specifies where another entity is situated or referenced within a document.
-
E.
currentText
Indicates that the referenced text is the one presently in effect, use, or display, as opposed to past or alternative versions.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a2594abeec8190a48f36817e647fcd |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a25672332081909386f35f3ca15dd2 |
completed | Feb. 28, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69a25738b5108190866fd704fceee18a |
completed | Feb. 28, 2026, 2:47 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.