Triple
T35707623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latin P |
E1031760
|
entity |
| Predicate | ASCIICodeUppercase |
P134203
|
FINISHED |
| Object | 80 |
—
|
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: 80 | Statement: [Latin P, ASCIICodeUppercase, 80]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ASCIICodeUppercase Context triple: [Latin P, ASCIICodeUppercase, 80]
-
A.
ASCIICodeLowercase
Indicates that the ASCII code of one character corresponds to the lowercase form of another character.
-
B.
ASCIICode
chosen
Indicates that one entity is the ASCII numerical code corresponding to the character represented by the other entity.
-
C.
unicodeCodePoint
Indicates that a character or symbol is associated with a specific Unicode code point value in the Unicode standard.
-
D.
asciType
Indicates that one entity has a specific ASCII character type or classification in relation to another entity.
-
E.
alphabeticCode
Indicates that one entity is identified or represented by a specific alphabetic code assigned to it.
- F. None of above.
Provenance (3 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.