Triple
T2998622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dalet |
E81130
|
entity |
| Predicate | isBasicLetterOf |
P1441
|
FINISHED |
| Object | Modern Hebrew orthography |
—
|
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: Modern Hebrew orthography | Statement: [Dalet, isBasicLetterOf, Modern Hebrew orthography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBasicLetterOf Context triple: [Dalet, isBasicLetterOf, Modern Hebrew orthography]
-
A.
hasBasicLetters
chosen
Indicates that an entity contains or is composed of fundamental alphabetic characters, without additional symbols or diacritics.
-
B.
hasLetter
Indicates that one entity contains, includes, or is associated with a specific letter or character.
-
C.
hasLetterBy
Indicates that an entity possesses or is associated with a letter authored or sent by another entity.
-
D.
hasLetterDesignation
Indicates that an entity is assigned or associated with a specific letter-based designation or code.
-
E.
isLetterSeat
Indicates that a given seat is designated as a lettered seat (identified by a letter rather than a number or other label).
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f766408190a5591efce8346bb9 |
completed | March 8, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69ad9615fefc8190ad96da92519cb7a3 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:59 p.m.