Triple
T13275935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HEBREW LETTER FINAL PE |
E316188
|
entity |
| Predicate | alphabetic |
P109285
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [HEBREW LETTER FINAL PE, alphabetic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alphabetic Context triple: [HEBREW LETTER FINAL PE, alphabetic, true]
-
A.
alphabet
Indicates that one entity is an alphabet or set of symbols used for representing elements (such as characters or tokens) in relation to another entity.
-
B.
alphabeticStatus
Indicates the relative ordering or position of entities based on alphabetical sequence.
-
C.
alphabeticPartRepresents
Indicates that the alphabetic portion of an identifier, code, or label stands for or denotes a particular concept, category, or entity.
-
D.
alphabeticCode
Indicates that one entity is identified or represented by a specific alphabetic code assigned to it.
-
E.
alphabetType
Indicates the type or classification of an alphabet used by a writing system or language.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:26 p.m.