Triple
T6517353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alif Lam Mim |
E148298
|
entity |
| Predicate | hasComponentLetter |
P54050
|
FINISHED |
| Object | Alif |
—
|
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: Alif | Statement: [Alif Lam Mim, hasComponentLetter, Alif]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComponentLetter Context triple: [Alif Lam Mim, hasComponentLetter, Alif]
-
A.
hasComponentCharacter
chosen
Indicates that one entity includes another entity as a constituent character or symbolic component.
-
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.
hasCodeLetters
Indicates that an entity is associated with, or represented by, a specific sequence of letters used as its code or identifier.
-
E.
hasLetterDesignation
Indicates that an entity is assigned or associated with a specific letter-based designation or code.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac0ece2081909c14accef90efd7c |
completed | March 27, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:44 p.m.