Triple
T8549806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porul |
E202416
|
entity |
| Predicate | isPartOfTraditionalDivisionWith |
P23759
|
FINISHED |
| Object | Aram |
—
|
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: Aram | Statement: [Porul, isPartOfTraditionalDivisionWith, Aram]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfTraditionalDivisionWith Context triple: [Porul, isPartOfTraditionalDivisionWith, Aram]
-
A.
isPartOfDivision
Indicates that one entity belongs to, or is contained within, a specific division of a larger organizational or structural unit.
-
B.
isMainDivisionOf
Indicates that one division functions as the primary or central division within, or in relation to, another organizational structure.
-
C.
isMajorDivisionOf
Indicates that one entity is a primary or principal subdivision or section within another, larger entity.
-
D.
traditionallyDividedInto
chosen
Indicates that something is customarily or historically separated into specific parts, sections, or categories according to established tradition.
-
E.
formalizedDivisionOf
Indicates a relationship where one entity is officially and explicitly divided into distinct parts or sub-entities according to a formal rule, structure, or agreement.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe753d3608190b0573477182cf194 |
completed | March 31, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_69cbd113e05c81908f4f3fc1b5925164 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:19 p.m.