Triple
T34946192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ṣiḥāḥ al-Jawharī |
E1007861
|
entity |
| Predicate | lexicographicalTradition |
P181879
|
FINISHED |
| Object | classical Arabic root-based dictionaries |
—
|
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: classical Arabic root-based dictionaries | Statement: [Ṣiḥāḥ al-Jawharī, lexicographicalTradition, classical Arabic root-based dictionaries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lexicographicalTradition Context triple: [Ṣiḥāḥ al-Jawharī, lexicographicalTradition, classical Arabic root-based dictionaries]
-
A.
languageTraditionally
Indicates that something is customarily or historically expressed, written, or communicated in a particular language.
-
B.
laterTraditionsLanguage
Indicates that later traditions or sources refer to or describe the subject using the specified language.
-
C.
governingLanguageTradition
Indicates that one language tradition holds authoritative or regulatory influence over another in terms of norms, standards, or accepted practices.
-
D.
grammaticalTraditionTerm
Indicates that one entity is the term used for something within a particular grammatical tradition or framework.
-
E.
hasDistinctOrthographyFrom
Indicates that two written forms are orthographically different from each other, even if they may represent the same or related linguistic content.
- 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_69f76dc5d4308190b77553ee07b1ede6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782cf61948190b98185d961609554 |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f782c848fc8190baea8c845ca9079f |
completed | May 3, 2026, 5:15 p.m. |
Created at: May 3, 2026, 4 p.m.