Triple
T7096599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sahabiyyah |
E165344
|
entity |
| Predicate | hasPlural |
P5088
|
FINISHED |
| Object | Sahabiyat |
—
|
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: Sahabiyat | Statement: [Sahabiyyah, hasPlural, Sahabiyat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlural Context triple: [Sahabiyyah, hasPlural, Sahabiyat]
-
A.
hasPlurality
Indicates that an entity or concept exists or is expressed in a plural form rather than a singular one.
-
B.
hasPluralForm
chosen
Indicates that one term is the plural grammatical form of another term.
-
C.
hasMultiple
Indicates that an entity is associated with more than one instance or occurrence of another related entity.
-
D.
hasGrammaticalNumber
Indicates that an expression is associated with a specific grammatical number category (such as singular, plural, or dual) in a language.
-
E.
pluralityJoinedBy
Indicates that multiple entities are combined or grouped together into a single plural unit, typically linked by a coordinating connector (such as "and").
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e554d9f081909443be54eb501d25 |
completed | March 27, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c313e481908b61a23fc89f9332 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:41 p.m.