Triple
T14284612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Qari'atu |
E354135
|
entity |
| Predicate | hasRootLetters |
P28360
|
FINISHED |
| Object | Q-R-A (ق ر ع) |
—
|
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: Q-R-A (ق ر ع) | Statement: [Al-Qari'atu, hasRootLetters, Q-R-A (ق ر ع)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRootLetters Context triple: [Al-Qari'atu, hasRootLetters, Q-R-A (ق ر ع)]
-
A.
hasRootWord
Indicates that one linguistic form is derived from, based on, or directly associated with a specified root word.
-
B.
rootLetters
chosen
Indicates that one element specifies the fundamental root letters from which another linguistic form is derived.
-
C.
belongsToRootServerLetters
Indicates that something is associated with or assigned to a specific group of root server letters.
-
D.
hasBasicLetters
Indicates that an entity contains or is composed of fundamental alphabetic characters, without additional symbols or diacritics.
-
E.
hasLettersFor
Indicates that one entity possesses or contains written correspondence intended for another entity.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697d9fd08190b0cd7a6a6737ba03 |
completed | April 14, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:10 a.m.