Triple
T19073316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latin letter J |
E466844
|
entity |
| Predicate | ASCIICodeLowercase |
P134204
|
FINISHED |
| Object | 106 |
—
|
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: 106 | Statement: [Latin letter J, ASCIICodeLowercase, 106]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ASCIICodeLowercase Context triple: [Latin letter J, ASCIICodeLowercase, 106]
-
A.
UnicodeCodePointLowercase
Indicates that one Unicode code point is the lowercase mapping or lowercase equivalent of another code point.
-
B.
alphabeticCode
Indicates that one entity is identified or represented by a specific alphabetic code assigned to it.
-
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.
hasLowercaseLetters
Indicates that the referenced text contains at least one lowercase alphabetic character.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e1ce5881908367424c89d73feb |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b99f602881909eeb9c780597e0e6 |
completed | April 19, 2026, 11:16 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:04 p.m.